Labook

清大研究所畢業論文與畢業時長統計

葉維彰(博: 5.91 years、碩: 2.05 years)

政府計畫(GRB),建議「依年度遞減排序」,以查看最新的研究方向。

畢業學年度論文標題連結學位畢業時長(years)
關鍵字
112
基於強化學...
基於強化學習的動態車輛途程問題優化 (Optimization of Dynamic Vehicle Routing Problems Based on Reinforcement Learning)
NTHU
無口試日期
動態車輛途程問題(Dynaimc Vehicle Routing Problem)、軟時間窗格(Soft Time Window)、強化學習(Reinforcement Learning)、自注意力機制(Self-Attention Mechanism)
動態車輛途...
112
應用深度學...
應用深度學習與影像處理方法於缺陷檢驗之實證研究:以LED為例 (Utilizing Deep Learning and Image Processing Methods to Application: An Empirical Study on Led Defect Detection)
NTHU
無口試日期
人工智慧(Artificial Intelligence)、深度學習(Deep Learning)、發光二極體(Light-Emitting Diode)、影像處理(Image Processing)、瑕疵檢測(Defect Detection)
人工智慧(...
112
運用機械手...
運用機械手臂夾具探討食品定量夾取之研究 (Exploring Food Quantitative Gripping Through the Use of Robotic Arm Gripper)
NTHU
碩(外籍生)無口試日期
食品盛裝(Food Packaging)、拾放作業(Pick-and-Place Process)、機械手臂(Robotic Arm)、夾具(Gripper)、定量夾取(Quantitative Gripping)
食品盛裝(...
112
應用改良式...
應用改良式簡化群體演算法改善圖卷積神經網路之結構(NAS)與超參數(HPO) (Using improved SSO to optimize Graph Convolution Network neural architecture search and hyperparameter optimization)
NTHU
無口試日期
圖卷積神經網路(GCN)、簡化群體演算法(Simplified Swarm Optimization)、改良式簡化群體演算法(Improved Simplified Swarm Optimization)、改良式簡化群體演算法(Hyperparameter Optimization)、超參數優化(Neural Architecture Search)、神經網路搜索(undefined)
圖卷積神經...
112
應用改良式...
應用改良式簡化群體演算法優化聯邦式學習模型之訓練 (Federated Learning Model Training using Simplified Swarm Optimization)
NTHU
無口試日期
聯邦式學習(Federated Learning)、改良式簡化群體演算法(Hyperparameter Tuning)、超參數調校(Improved Simplified Swarm Optimization)、萬用啟發式演算法(Meta-Heuristic Algorithm)
聯邦式學習...
112
應用最優計...
應用最優計算量分配蒙地卡羅之二元累加窮舉演算法於探針卡網路可靠度 (Applying Monte Carlo Simulation and Optimal Computing Budget Allocation based on Binary-Addition-Tree Algorithm to Probe Card Network Reliability.)
NTHU
無口試日期
探針卡電路(Probe Card Circuit)、網路可靠度(Network Reliability)、二元累加窮舉演算法(Binary-Addition-Tree Algorithm)、蒙地卡羅模擬(Monte Carlo Simulation)、最優計算量分配(Optimal Computing Budget Allocatin)
探針卡電路...
112
基於改良式...
基於改良式簡化群體演算法與自然梯度下降訓練圖卷積網路 (Optimization of Graph Convolutional Network Using Improved Simplified Swarm Optimization Algorithm and Natural Gradient Descent)
NTHU
無口試日期
圖神經網路(Graph Neural Networks)、圖卷積網路(Graph Convolutional Networks)、改良式簡化群體演算法(Improved Simplified Swarm Algorithm)、自然梯度下降(Natural Gradient Descent)、神經網路模型訓練(Neural Network Model Training)
圖神經網路...
112
以眼動追蹤...
以眼動追蹤探討網路廣告形式、版面位置對注意力、再認力及閱覽專注力之影響 (The Impact of Online Advertisement Formats and Layout Positions on Attention, Recognition, and Reading Concentration: An Eye-Tracking Study)
NTHU
無口試日期
眼動追蹤(eye-tracking)、網路廣告(online advertisements)、注意力與再認力(attention and recognition)、專注力(concentration)、機器學習(machine learning)
眼動追蹤(...
112
基於 WK...
基於 WKN-BiGRU-MSA 和簡化群體演算法之可靠度評估模型 (A reliability evaluation model based on WKN-BiGRU-MSA and SSO)
NTHU
無口試日期
可靠度評估(WaveletKernelNet)、簡化群體演算法(BiGRU)、健康指數預測(MSA)、WaveletKernelNet(Simplified Swarm Algorithm)、BiGRU(Health index prediction)、MSA(Reliability evaluation)
可靠度評估...
112
探索失智症...
探索失智症家庭照顧者慢性壓力的預測模型: 基於機器學習的多變量研究 (Exploring predictive models of dementia family caregiver chronic stress: Multivariate research based on machine learning)
NTHU
無口試日期
失智症家庭照顧者(Dementia Family Caregivers)、慢性壓力評估(Chronic Stress Assessment)、因素分析(Exploratory Factor Analysis)、特徵選擇(Feature selection)、預測分析(Predictive Analysis)
失智症家庭...
112
金屬表面雷...
金屬表面雷射標籤辨識基於YOLO物件偵測方法之研究 -以A公司為例 (Metal Surface Laser Label Recognition Based on YOLO Object Detection Method - An Empirical Study of Company A)
NTHU
無口試日期
光學字符辨識(Optical Character Recognition)、物件偵測(Object Detection)、YOLOv7(YOLOv7)、座標轉換(Coordinate Transformation)、資料增強(Data Augmentation)
光學字符辨...
112
發展一個通...
發展一個通用的可解釋性框架實現顧客畫像應用於商業領域 (Developing a Universal Explainable Framework for Persona in Business sector)
NTHU
無口試日期
自然語言處理(Natural Language Processing)、位元組對編碼(Byte-Pair Encoding)、顧客畫像(Persona)、可解釋性機器學習(Explainable Machine Learning)、商業領域(undefined)
自然語言處...
112
應用簡化群...
應用簡化群體演算法求解連續速度時變函數異質車型車輛路徑問題 (Simplified Swarm Optimization for the Heterogeneous Fleet Vehicle Routing Problem with Time-Varying Continuous Speed Function)
NTHU
NDLTD
4.28
車輛路徑問題(Vehicle Routing Problem)、依時車輛路徑問題(ime-Dependent Vehicle Routing Rroblem)、異質車型(heterogeneous fleet)、連續速度時變函數(time-varying continuous speed function)、二元累加樹演算法(Binary Addition Tree Algorithm)、簡化群體演算法(Simplified Swarm Optimization)、二元累加樹改進簡化群體演算法(BAT-SSO)
車輛路徑問...
112
基於簡化群...
基於簡化群體演算法自動化壓縮卷積神經網路 (Automatic Deep Compression Based on Simplified Swarm Optimization)
NTHU
NDLTD
碩(外籍生)1.87
卷積神經網路(Convolutional Neural Network)、模型剪枝(Model Pruning)、萬用啟發式演算法(Metaheuristic Algorithms)、邊緣運算(Edge Computing)
卷積神經網...
111
以眼動追蹤...
以眼動追蹤探討消費者線上購物歷程及購物偏好 (Exploring Online Shopping Journey and Shopping Preference with Eye Tracking)
NTHU
NDLTD
1.89
推薦系統(recommender systems)、眼動追蹤(eye tracking)、購物偏好(shopping preferences)、機器學習(machine learning)、考量因子(consideration factors)
推薦系統(...
111
基於簡化群...
基於簡化群體演算法與知識蒸餾建立輕量化乳癌腫瘤異常分類模型 (A Lightweight Classification Model for Breast Cancer Mass Abnormality based on Simplified Swarm Optimization Algorithm and Knowledge Distillation)
NTHU
NDLTD
碩(提早入學)2.36
乳癌腫瘤異常分類(Breast Cancer Abnormality Classification)、卷積神經網路(CNN)、遷移學習(Transfer Learning)、知識蒸餾(Knowledge Distilation)、簡化群體演算法(Simplified Swarm Optimization)
乳癌腫瘤異...
111
基於簡化群...
基於簡化群體演算法之混合特徵選擇方法應用於半導體製造分類問題 (A Hybrid Feature Selection Method based on Simplified Swarm Optimization for Data Classification in Semiconductor Manufacturing)
NTHU
NDLTD
碩(提早入學)2.36
混合式特徵選擇(hybrid feature selection)、簡化群體演算法(Simplified Swarm Optimization)、半導體製造(semiconductor manufacturing)
混合式特徵...
111
應用簡化群...
應用簡化群體演算法優化切割問題 (Cutting Optimization Problem Using Simplified Swarm Optimization)
NTHU
NDLTD
2.05
原料切割問題(Cutting stock problem)、簡化群體演算法(Simplified Swarm Optimization)、萬用啟發式演算法(Metaheuristic)
原料切割問...
110
應用物件偵...
應用物件偵測於半導體晶圓刻號辨識系統 (Applying Object Detection in Semiconductor Wafer-ID Recognition System)
NTHU
NDLTD
4.00
晶圓刻號(Wafer-ID)、物件偵測(ObjectDetection)、光學字元辨識(OCR)、機器學習(MachineLearning)
晶圓刻號(...
110
應用改良式...
應用改良式簡化群體演算法訓練卷積神經網路權重 (Convolution Neural Network Weight Optimization Using Improved Simplified Swarm Optimization)
NTHU
NDLTD
1.99
卷積神經網路(Convolutional Neural Network)、改良式簡化群體演算法(Improved Simplified Swarm Optimization)、梯度下降法(Gradient Descent)、萬用啟發式演算法(Metaheuristic algorithm)
卷積神經網...
110
結合神經網...
結合神經網路與簡化群體演算法建構彈性網格交易模型 (Combined Neural Network with Simplified Swarm Optimization for Building Flexible Grid Trading Model)
NTHU
NDLTD
1.99
演算法交易(algorithmic trading)、簡化群體演算法(simplified swarm optimization)、人工智慧(artificial intelligence)、深度學習(simplified swarm optimization)、神經網路(artificial neural network)、網格交易(grid trading)
演算法交易...
110
應用混合基...
應用混合基因簡化群體演算法於分散式彈性零工式生產排程問題 (Applying Hybrid Genetic Simplified Swarm Optimization for Distributed Flexible Job-Shop Scheduling Problem)
NTHU
NDLTD
1.90
分散式彈性零工式生產排程(Distributed Flexible Job Shop Scheduling Problem)、簡化群體演算法(Simplified Swarm Optimization)、基因演算法(Genetic Algorithm)、遺傳技巧(Genetic Operator)
分散式彈性...
110
混合量子簡...
混合量子簡化群體演算法優化多處理器環境之即時任務排程問題 (A Hybrid Quantum-Inspired Simplified Swarm Optimization Algorithm for Real-Time task scheduling in multiprocessor environment)
NTHU
NDLTD
1.90
即時系統(RT systems)、多核心處理器(Multiprocessor)、排程最佳化(Scheduling Optimization)、量子計算(Simplified Swarm Optimization)、簡化群體演算法(Quantum computing)
即時系統(...
110
基於語義相...
基於語義相似度匹配的FAQ問答系統實作研究-以軟體技術支援常見問答集為例 (Research and Implementation of Retrieval-based FAQ Question Answering System Using q-Q Semantic Similarity Matching-application for Software Technical Support FAQ)
NTHU
NDLTD
1.83
常見問答集(Frequently Asked Questions)、問答式查詢(Question and Answering)、基於變換器的語句雙向編碼器表示技術(Sentence Bidirectional Encoder Representations from Transformers)、語義相似度(Semantic Similarity)
常見問答集...
110
應用LST...
應用LSTM預測維護—以後段測試廠分類機為例 (Predictive Maintenance using LSTM - application for handlers of final test process)
NTHU
NDLTD
1.83
電腦整合製造(Computer-Integrated Manufacturing)、分類機故障預測(Breakdown prediction of handler)、預測維護(Predictive Maintenance)、長短期記憶(Long Short-Term Memory)
電腦整合製...
110
延伸可靠度...
延伸可靠度評估方法至彈性評估問題 (Extending Reliability Evaluation Method to Resilience Assessment Problems)
NTHU
NDLTD
學逕博4.54
網絡彈性(Network Resilience)、元件重要性(Component Importance)、網絡脆弱性(Network Vulnerability)、網絡可恢復性(Network Recoverability)、網絡可靠性(Network Reliability)、二進制加法(Binary Addition)、二進制狀態網絡(Binary-state Network)
網絡彈性(...
110
不確定需求...
不確定需求下基於風險規避兩階段隨機規劃的閉環供應鏈網路設計 (Risk Averse Two-Stage Stochastic Programming-Based Closed-Loop Supply Chain Network Design under Uncertain Demand)
NTHU
NDLTD
碩(外籍生)2.38
閉環供應鏈(Closed-Loop Supply Chain)、風險規避(Risk Aversion)、隨機規劃(Stochastic Programming)、萬用啟發式演算法(Meta-Heuristic Algorithm)、平行計算(Parallel Computation)
閉環供應鏈...
109
基於改良簡...
基於改良簡化群體演算法求解多層規劃於雙管道供應鏈定價決策問題 (Solving Dual-channel Supply Chain Pricing Strategy Problem with Multi-level Programming Based on Improved Simplified Swarm Optimization)
NTHU
NDLTD
2.08
雙管道供應鏈(Dual-channel Supply Chain)、定價策略(Pricing Strategy)、Stackelberg game(Stackelberg Game)、多階層規劃問題(Multi-level Programming)、改良簡化群體演算法(improved Simplified Swarm Optimization)
雙管道供應...
109
應用非支配...
應用非支配排序簡化群體演算法於多目標全通路零售之汙染路徑問題 (Non-dominated Sorting Simplified Swarm Optimization for Multi-Objective Omni-Channel of Pollution Routing Problem)
NTHU
NDLTD
2.08
汙染路徑問題(Pollution Routing Problem)、全通路零售(Omni-channel)、非支配排序簡化群體演算法(Non-dominated Sorting Simplified Swarm Optimization)、多目標優化(Multi-objective)
汙染路徑問...
109
基於簡化群...
基於簡化群體差異進化演算法求解混合型冷熱電供聯系統之機組排程及容量問題 (Multi-objective Optimal Operation Schedule and Component Capacity of Renewable Energy hybrid Combined Cooling, Heating and Power System using SSO-DE)
NTHU
NDLTD
3.96
微電網(Micro-Gird)、冷熱電供聯系統(Combined Cooling, Heating and Power System)、簡化群體演算法(Simplified Swarm Optimization)、差異進化演算法(Different Evolution)
微電網(M...
109
基於深度學...
基於深度學習注意力模組強化特定類內變化之不變特徵轉換以多姿態人臉辨識為例 (PAM: Pose Attention Module for Pose-Invariant Face Recognition)
NTHU
NDLTD
2.96
深度學習(Deep Learning)、人臉識別(Face Recognition)、類內不均衡(Intra­-class Imbalance)、姿態不變特徵轉換(Pose­-invariant Fea­ture Transformation)、注意力機制(Attention Mechanism)
深度學習(...
109
應用二元累...
應用二元累加窮舉法與網頁排名於社群網路傳播機率預測與建模 (Applying Binary-Addition-Tree and PageRank for Predicting and Modeling Propagation Probability in Social Network)
NTHU
NDLTD
1.96
社群網路(social networks)、無尺度網路(scale-free network)、Barabás-Albert模型(Barabás-Albert model)、二元累加窮舉法(Binary-Addition-Tree)、PageRank(PageRank)、個性化PageRank(Personalized PageRank)
社群網路(...
109
單類遞歸神...
單類遞歸神經網路之穩態 (Steady States of A Class of Recurrent Neural Networks)
NTHU
NDLTD
8.92
類神經網路(Artificial Neural Networks)、遞歸型類神經網路(Recurrent Neural Networks)、離散差分方程(Discrete Difference Equations)
類神經網路...
109
應用簡化群...
應用簡化群體演算法優化卷積神經網路超參數 (Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization)
NTHU
NDLTD
1.87
機器學習(Machine Learning)、圖像辨識(Image Recognition)、卷積神經網路(Convolutional Neural Networks)、簡化群體演算法(Simplified Swarm Optimization)、超參數優化(Hyperparameter Optimization)
機器學習(...
109
利用累加窮...
利用累加窮舉簡化群體演算法求解通用網路可靠度冗餘配置問題 (A Novel Binary-addition Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem)
NTHU
NDLTD
1.87
可靠度冗餘配置問題(Reliability redundancy allocation problem (RRAP))、網路可靠度(Network reliability)、累加窮舉演算法(Binary-addition tree (BAT))、簡化群體演算法(Simplified swarm algorithm (SSO))、柔性演算(Soft computing)
可靠度冗餘...
109
人工智能應...
人工智能應用機會的系統化辨識手法 (Systematic Identification of Artificial Intelligence Application Opportunities)
NTHU
NDLTD
2.06
萃智(TRIZ)、系統性創新(Systematic Innovation)、情境分析(Context Analysis)、人工智慧(Artificial Intelligence)、IDEF(IDEF)
萃智(TR...
108
以支持向量...
以支持向量機分類具優先序的萃智趨勢解答辨識 (Prioritized TRIZ Trend Solution Identification Using Support Vector Machine)
NTHU
NDLTD
1.96
萃智(TRIZ)、演化趨勢(Evolutionary Trend)、支持向量機(Support Vector Machine)
萃智(TR...
108
以類神經網...
以類神經網路辨識與排序萃智效應解答 (Using Neural Network to Identify and Prioritize TRIZ Effect Solutions)
NTHU
NDLTD
1.96
萃智(TRIZ)、系統性創新(systematic innovation)、效應資料庫(effect database)、問題模型(problem model)、解答模型(solution model)、類神經網路(neural network)、機器學習(machine learning)
萃智(TR...
108
平行簡化群...
平行簡化群體演算法與混合梯度下降法於CUDA架構之實現 (Parallel Simplified Swarm Optimization and Hybrid Gradient Descent Implemented in CUDA)
NTHU
NDLTD
1.88
圖形處理器(Graphics Processing Unit (GPU))、平行運算(Parallelism)、智能群體演算法(Intelligent Swarm Algorithm (SIAs))、簡化群體演算法(Simplified Swarm Optimization (SSO))、梯度下降法(Gradient Descent (GD))、統一計算架構(Compute Unified Device Architecture (CUDA))
圖形處理器...
108
應用非支配...
應用非支配排序簡化群體演算法 於雲端計算任務分配問題 (Non-dominated Sorting Simplified Swarm Optimization for Task Scheduling in Cloud Computing)
NTHU
NDLTD
1.88
雲端計算(cloud computing)、任務分配(task scheduling)、多目標最佳化(multi-objective optimization)、非支配排序基因演算法(NSGAII)、簡化群體演算法(SSO)、非支配排序簡化群體演算法(NSSSO)
雲端計算(...
108
混合式演算...
混合式演算法優化循環式神經網路-空氣品質預測 (Hybrid Algorithm Trained Recurrent Neural Network for Air Quality Index Forecasting)
NTHU
NDLTD
1.86
空氣品質指標(AQI)、機器學習(Machining learning)、循環式神經網路(RNN)、啟發式演算法(Heuristic algorithms)
空氣品質指...
108
以簡化群體...
以簡化群體演算法優化卷積神經網路結構及超參數調整 (Optimization Convolutional Neural Network Architecture and Hyperparameter Using Simplified Swarm Optimization)
NTHU
NDLTD
1.86
神經網路架構搜尋(Neural architecture search)、超參數優化(Hyperparameter optimization)、卷積神經網路(Convolutional neural network)
神經網路架...
107
應用非支配...
應用非支配排序簡化群體演算法佈署電動機車電池交換站選址系統 (Non-dominated Sorting Simplified Swarm Optimization for Deploying Electric Scooter Battery-Swapping Location System)
NTHU
NDLTD
1.90
電動機車(Electric Scooter)、電池交換站(Battery Swapping Station)、簡化群體演算法(Simplified Swam Optimization)、非支配排序演算法(Non-dominated Sorting Algorithm)、有限容量設施選址(Capacity Facility Location)
電動機車(...
107
應用非支配...
應用非支配改良式排序簡化群體演算法求解多目標機門穩健性指派問題 (Non-dominated sorting improved Simplified Swarm Optimization for Robust Multi-objective Gate Assignment Problem)
NTHU
NDLTD
1.90
機門指派(Gate Assignment)、穩健性(Robustness)、多目標問題(Multi-objective problem)、改良式簡化群體演算法(improved Simplified Swarm Optimization)
機門指派(...
107
應用混合簡...
應用混合簡化群體正餘弦演算法於工業4.0智慧工廠雲/霧混和計算系統最佳化佈署問題之研究 (Simplified Swarm Optimization-Sine Cosine Algorithm for Optimal Deployment of Hybrid Cloud/Fog Computing System of Industry 4.0 Smart Factory)
NTHU
NDLTD
1.90
混合簡化群體正餘弦演算法(Simplified Swarm Optimization-Sine Cosine Algorithm)、啟發式演算法(Heuristic Algorithm)、多階層設施佈置問題(Hierarchical Facility Location Problems)、雲/霧混和計算系統(Cloud/Fog Hybrid Computing System)、智能工廠(Smart Factory)
混合簡化群...
107
考慮多種突...
考慮多種突發情境下之護士排班問題-以簡化群體演算法結合遺傳技巧求解 (Nurse Scheduling Problem: Considering several sudden incidents using Simplified Swarm Optimization with Genetic Techniques)
NTHU
NDLTD
1.90
護士排班(Nurse Scheduling Problem)、簡化群體演算法(Simplified Swarm Optimization)、突發情境(sudden incident)、遺傳技巧(Genetic Technique)
護士排班(...
107
應用雙目標...
應用雙目標簡化粒子群演算法 結合理牌區域搜尋法及快速菁英挑選法 求解多目標霧計算任務分配問題 (Fog Computing Task Scheduling Optimization Based on Bi-Objective Simplified Swarm Optimization With Card Sorting Local Search and Fast Elite Selecting)
NTHU
NDLTD
1.90
霧計算(Fog computing)、任務分配(Task scheduling)、區域搜尋(Local search)、簡化粒子群演算法(SSO)、多目標(Multi-objective)、非支配排序(Non-dominated sorting)
霧計算(F...
107
運用模擬兩...
運用模擬兩因子估計重工製造系統之網路可靠度 (Using Simulation Value of Two Factors to Estimate the Manufacturing Network Reliability with Reworking Action)
NTHU
NDLTD
碩(提早入學)1.38
網路可靠度(Network Reliability)、重工問題(Reworking Problem)、蒙地卡羅模擬法(Monte Carlo simulation method)
網路可靠度...
106
應用混和式...
應用混和式演算法優化卷積神經網路 (Optimization of Convolutional Neural Network Using Hybrid Algorithm)
NTHU
NDLTD
1.85
圖像辨識(Image recognition)、卷積神經網路(convolutional neural network)、改良式簡化群體演算法(Improved Simplified Swarm Optimization)、隨機梯度搜尋法(undefined)
圖像辨識(...
106
應用非支配...
應用非支配排序簡化群體演算法求解多目標多階層有限容量設施選址問題 (A Novel Non-dominated sorting Simplified Swarm Optimization for Multi-stage Capacitated Facility Location Problem with Multi-objective)
NTHU
NDLTD
1.85
簡化群體演算法(Simplified swarm optimization (SSO))、多目標規劃(Multi-objective optimizations)、非支配排序演算法(Non-dominated sorting algorithm)、有限容量設施選址問題(Capacitated multi-facility location problem)
簡化群體演...
106
混合改良簡...
混合改良簡化群差異進化以及循序二次規劃法求解動態經濟排放調度問題 (iSSODE-SQP for Dynamic Economic Emission Dispatch Problem)
NTHU
NDLTD
1.85
動態經濟排放調度問題(Dynamic Economic Emission Dispatch Problem)、改良簡化群體演算法(Improved Simplified Swarm Optimization)、差異進化演算法(Differential Evolution)、循序二次規劃法(Sequential Quadratic Programming)
動態經濟排...
106
應用簡化群...
應用簡化群體最佳化演算法求解資源限制下專案計畫排程問題 (Application of Simplified Swarm Optimization for Solving the Resource-Constrained Project Scheduling Problems)
NTHU
NDLTD
1.85
簡化群體最佳化演算法(Simplified Swarm Optimization (SSO))、資源限制下專案排程問題(Resource-Constrained Project Scheduling problem (RCPSP))、優先權啟發式演算法(Priority-Rule-Based heuristic(PRB))、雙向對齊技術(Double Justification (DJ))、前向-後向排程法(Forward-Backward Scheduling)、粒子群雙向搜索策略(bidirectional search strategy)
簡化群體最...
106
模糊系統與...
模糊系統與時間窗應用於多需求隨機網路之交通服務網路問題 (Application of fuzzy system and time window in multi - demand stochastic network of traffic service network problems)
NTHU
NDLTD
1.85
交通服務網路(traffic service network)、網路可靠度(network reliability)、時間窗(time window)、模糊系統(fuzzy system)
交通服務網...
106
應用改良簡...
應用改良簡化群體演算法求解彈性零工式生產排程問題 (Improved Simplified Swarm Optimization for Flexible Job Shop Problem)
NTHU
NDLTD
1.85
彈性零工式生產排程(Flexible Job-Shop Scheduling Problem)、改良簡化群體演算法(Improved Simplified Swarm Optimization)
彈性零工式...
106
應用多目標...
應用多目標簡化群演算法解決多目標雲端運算任務分配問題 (Multi-objective Task Scheduling in Cloud Environment Using Multi-objective Simplified Swarm Optimization)
NTHU
NDLTD
碩(外籍生)1.83
雲端運算(cloud computing)、任務分配(task scheduling)、多目標(multi-objective)、簡化群演算法(SSO)、多目標簡化群演算法(MOSSO)
雲端運算(...
105
以簡化群演...
以簡化群演算法求解單列機台布置問題 (Solving Single Row Facility Layout Problem With Simplified Swarm Optimization)
NTHU
NDLTD
1.99
單列機台布置問題(simplified swarm optimization)、簡化群演算法(single row facility layout problem)、粒子群演算法(permutation optimization)
單列機台布...
105
應用融合式...
應用融合式簡化群體演算法於多產品流程型生產系統隨機資源分配問題之研究 (A Hybrid Simplified Swarm Optimization for Multi-Product Stochastic Resource Allocation Problem in Flow Production System)
NTHU
NDLTD
1.99
隨機資源分配問題(stochastic resource allocation problem)、OCBA(optimal computing budget allocation)、簡化群體演算法(simplified swarm optimization)、模擬最佳化(simulation optimization)
隨機資源分...
105
應用混合式...
應用混合式過濾器模型及多目標簡化群體演算法解決基因型態資料之基因選取問題 (Appling hybrid filter model and multi-objective simplified swarm optimization for gene selection problem using gene expression data)
NTHU
NDLTD
1.86
簡化群體演算法(Simplified swarm optimization (SSO))、基因選取(Gene selection)、多目標規劃(Multi-objective optimizations)、層級分析法(analytic hierarchy process (AHP))、支撐向量機(support vector machine (SVM))
簡化群體演...
105
應用網路可...
應用網路可靠度於多商品隨機衰退之供應鏈網路配送問題 (Application of Multi-Commodity Reliability Concept in Deteriorated Stochastic Supply Chain Network Problem)
NTHU
NDLTD
1.86
隨機供應鏈問題(Stochastic supply chain network)、多商品運送(multi-commodity transportation)、商品衰退(commodity deterioration)、網路可靠度(network reliability)、總運輸時間限制(transportation time limit)
隨機供應鏈...
105
應用簡化群...
應用簡化群體-熵演算法於分佈式運算系統中工作指派問題之研究 (Simplified Swarm Optimization with Entropy local search(SSO-E) for Task Assignment Problem in distributed computing system)
NTHU
NDLTD
2.42
工作指派問題(task assignment problem)、分佈式運算系統(distributed computing system)、簡化群體演算法(simplified swarm optimization)、熵(entropy)、標準化懲罰式適應值函數(normalized penalty fitness function)
工作指派問...
105
應用混合式...
應用混合式數據引力分類演算法於基因表現資料分類問題之研究 (A hybrid data gravitation based classification algorithm applied to gene expression data)
NTHU
NDLTD
碩(提早入學)1.92
數據引力分類(Data Gravitation based Classification)、優化簡化群體演算法(Simplified swarm optimization (SSO))、基因表現資料(Gene selection)、基因選取(ANOVA)、變異數分析(Gene expression data)
數據引力分...
104
Apply...
Applying Simplified Swarm Optimization for Solving Clustering Problem (應用簡群最佳化演算法求解資料分群問題)
NTHU
NDLTD
無口試日期
資料分群(data clustering)、簡群演算法(K-means)、主成分分析(K-harmonic-means)、隨機取樣(simplified swarm optimization)、K平均分群(principle component analysis)、K調和平均分群(random sampling technique)
資料分群(...
104
A Hyb...
A Hybrid Filter/Wrapper Method Using Simplified Swarm Optimization for Feature Selection in High-Dimensional Imbalanced Data (應用簡化群體演算法之混合式特徵選取於於高維度不平衡資料集之研究)
NTHU
NDLTD
無口試日期
特徵選取(feature selection)、不平衡資料(imbalanced data)、簡化群體演算法(simplified swarm optimization)
特徵選取(...
103
應用簡化群...
應用簡化群體演算法於多態暨橋接串並聯系統中可維修式冗餘配置問題之研究 (Simplified Swarm Optimization for Repairable Redundancy Allocation Problem in Multi-state Systems with Bridge Topology)
NTHU
NDLTD
無口試日期
冗餘配置問題(redundancy allocation problem)、多態系統(multi-state systems)、可修復元件(repairable components)、簡化群體演算法(simplified swarm optimization)、一般生成函數(universal generating function)
冗餘配置問...
103
2D二元角...
2D二元角度限制網路及多態流量角度限制網路之可靠度評估 (A Novel 2D Binary-State Angle Network/2D Multi-State Flow Angle Network and the Reliability Evaluation)
NTHU
NDLTD
無口試日期
最小路徑(Minimal paths)、2D 二元角度網路(2D binary-state angle network)、2D 多態角度流量網路(2D multi-state angle network)、角度網路可靠度(Angle network reliability)
最小路徑(...
103
應用簡化群...
應用簡化群體演算法於多層供應鏈衰退型路網中貨物配送問題之最佳化研究 (Application of Simplified Swarm Optimization Algorithm in Deteriorated Supply Chain Network Problem)
NTHU
NDLTD
無口試日期
最佳化(Optimization)、簡化群體演算法(Simplified Swarm Optimization (SSO))、供應鏈管理(Supply chain management)、三層供應鏈路網(Three-stage supply chain network)、衰退型路網(Deteriorated network)
最佳化(O...
103
應用柔性演...
應用柔性演算法於一次性配送有限產能廠址選擇問題之研究 (Integrated use of soft computing and clustering for capacitated clustering single-facility location problem with one-time delivery)
NTHU
NDLTD
無口試日期
分群場址選擇(Capacitated Clustering Location Problem)、簡化群體演算法(Simplified Swarm Optimization (SSO),)、調和平均數分群(K-harmonic Means (KHM))、旅行銷售員問題(Travelling Salesman Problem)
分群場址選...
103
應用資訊增...
應用資訊增益、簡化群體演算法及輪式搜尋策略於基因選取之研究 (Information gain and wheel based simplified swarm optimization for gene selection from gene expression data)
NTHU
NDLTD
無口試日期
簡化群體演算法、基因選取、基因表現資料、資訊增益、分類
簡化群體演...
102
應用模組搜...
應用模組搜尋式簡化群體演算法於串並聯系統中一般化多層次冗餘配置問題之研究 (Simplified Swarm Optimization with Modular Search for the General Multi-level Redundancy Allocation Problem in Series-parallel Systems)
NTHU
NDLTD
碩(提早入學)無口試日期
可靠度最佳化(Reliability Optimization)、冗餘配置(Redundancy Allocation Problem (RAP))、多層次系統(Multi-Level System)、簡化群體演算(Simplified Swarm Optimization (SSO))
可靠度最佳...
102
運用簡化群...
運用簡化群體演算法於產線平衡規劃問題-以半導體製程為例 (Simplified Swarm Optimization for Resource Allocation in Line Balancing of Semiconductor Manufacturing)
NTHU
NDLTD
無口試日期
黃光顯影(Photolithography,)、半導體製造業(Semiconductor Process)、柔性運算(Soft Computing)、平行機台(Load Balancing)、機台負載平衡(Parallel Machines)
黃光顯影(...
102
衰退型多態...
衰退型多態流量網路於d容量水準下之計算及可靠度評估 (Calculating the Deterioration-effect Multi-state Flow Network with Capacity Level d and Evaluate Reliability)
NTHU
NDLTD
無口試日期
多態流量網路(Multi-state flow network)、最小路徑(Minimal path)、衰退效應(Deterioration effect)、流量守恆(Flow conservation law)、網路可靠度(Network reliability)、不相交乘積之和(Sum-of-Disjoint Products)
多態流量網...
102
A New...
A New Universal Generating Function Method to Search for all Minimal Paths Generate in Networks (應用新型通用生成函數尋找網路圖形中最小路徑之研究)
NTHU
NDLTD
無口試日期
特定通用生成函數、最小路徑、網路可靠度
特定通用生...
101
利用轉置權...
利用轉置權重馬氏距離改善類神經網路分類效果 (TWMD-based Neural Network for Classification Problems)
NTHU
NDLTD
無口試日期
馬氏距離(Mahalanobis)、類神經網路(Neural Network)、屬性權重(Feature weight)
馬氏距離(...