相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot
Lei Wu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
Optimizing 3D printing facility selection for ubiquitous manufacturing using an evolving fuzzy big data analytics approach
Tin-Chih Toly Chen et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2023)
Designing porthole aluminium extrusion dies on the basis of eXplainable Artificial Intelligence
Juan Llorca-Schenk et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification
D. Elhani et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
An artificial bee colony algorithm with a cumulative covariance matrix mechanism and its application in parameter optimization for hearing loss detection models
Jingyuan Yang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)
Ahmet Karaman et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
Determining optimal paths of virtual links in Avionics Full-Duplex Switched Ethernet networks using modified ant colony optimization algorithm
Otman Baturay Bayram et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
A multi-population particle swarm optimization-based time series predictive technique
Cry Kuranga et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
Permeability Predictions for Tight Sandstone Reservoir Using Explainable Machine Learning and Particle Swarm Optimization
Jing-Jing Liu et al.
GEOFLUIDS (2022)
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where
Imran Ahmed et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)
Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing
Julian Senoner et al.
MANAGEMENT SCIENCE (2022)
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
Lucas C. Brito et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Nested conformal prediction and quantile out-of-bag ensemble methods
Chirag Gupta et al.
PATTERN RECOGNITION (2022)
被撤回的出版物: Research on control strategy and policy optimal scheduling based on an improved genetic algorithm (Retracted article. See DEC, 2022)
Jing Xia et al.
NEURAL COMPUTING & APPLICATIONS (2022)
Statistical arbitrage powered by Explainable Artificial Intelligence
Salvatore Carta et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
A two-stage explainable artificial intelligence approach for classification-based job cycle time prediction
Toly Chen et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2022)
Evaluating the sustainability of smart technology applications in healthcare after the COVID-19 pandemic: A hybridising subjective and objective fuzzy group decision-making approach with explainable artificial intelligence
Tin-Chih Toly Chen et al.
DIGITAL HEALTH (2022)
Type-II fuzzy approach with explainable artificial intelligence for nature-based leisure travel destination selection amid the COVID-19 pandemic
Yu-Cheng Lin et al.
DIGITAL HEALTH (2022)
A ubiquitous healthcare system of 3D printing facilities for making dentures: Application of type-II fuzzy logic
Min-Chi Chiu et al.
DIGITAL HEALTH (2022)
Investigations on Explainable Artificial Intelligence methods for the deep learning classification of fibre layup defect in the automated composite manufacturing
Sebastian Meister et al.
COMPOSITES PART B-ENGINEERING (2021)
A Hybrid Approach Combining Fuzzy c-Means-Based Genetic Algorithm and Machine Learning for Predicting Job Cycle Times for Semiconductor Manufacturing
Gyu M. Lee et al.
APPLIED SCIENCES-BASEL (2021)
Doctor XAI An ontology-based approach to black-box sequential data classification explanations
Cecilia Panigutti et al.
FAT* '20: PROCEEDINGS OF THE 2020 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2020)
Smart and automation technologies for ensuring the long-term operation of a factory amid the COVID-19 pandemic: an evolving fuzzy assessment approach
Toly Chen et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)
Evaluating the sustainability of a smart technology application to mobile health care: the FGM-ACO-FWA approach
Tin-Chih Toly Chen
COMPLEX & INTELLIGENT SYSTEMS (2020)
Application of genetic algorithm to job scheduling under ergonomic constraints in manufacturing industry
Shib Sankar Sana et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2019)
Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
Hai-Bang Ly et al.
APPLIED SCIENCES-BASEL (2019)
XAI-Explainable artificial intelligence
David Gunning et al.
SCIENCE ROBOTICS (2019)
Predicting Heart Attack Through Explainable Artificial Intelligence
Mehrdad Aghamohammadi et al.
COMPUTATIONAL SCIENCE - ICCS 2019, PT II (2019)
Performance of ANFIS Coupled with PSO in Manufacturing Superior Wear Resistant Aluminum Matrix Nano Composites
Mohsen Ostad Shabani et al.
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS (2018)
Optimal multiple-period scheduling and sequencing of operating room and intensive care unit
Abbas Al-Refaie et al.
OPERATIONAL RESEARCH (2018)
Adaptive Packet Scheduling in IoT Environment Based on Q-leaming
Donghyun Kim et al.
9TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN-2018) / 8TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2018) (2018)
A New Feature Selection Technique for Load and Price Forecast of Electrical Power Systems
Oveis Abedinia et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2017)
Combining metaheuristics with mathematical programming, constraint programming and machine learning
El-Ghazali Talbi
ANNALS OF OPERATIONS RESEARCH (2016)
Parallel ant colony optimization for resource constrained job scheduling
Dhananjay Thiruvady et al.
ANNALS OF OPERATIONS RESEARCH (2016)
Feature selection and analysis on correlated gas sensor data with recursive feature elimination
Ke Yan et al.
SENSORS AND ACTUATORS B-CHEMICAL (2015)
Multi-level job scheduling in a flexible job shop environment
Hongbum Na et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2014)
Evaluation of mathematical models for flexible job-shop scheduling problems
Yunus Demir et al.
APPLIED MATHEMATICAL MODELLING (2013)
Optimisation for job scheduling at automated container terminals using genetic algorithm
Bradley Skinner et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2013)
A neuro-fuzzy model for a new hybrid integrated Process Planning and Scheduling system
Alper Seker et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
A fuzzy-neural approach for optimizing the performance of job dispatching in a wafer fabrication factory
Yi-Chi Wang et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2013)
A fuzzy-neural approach for supporting three-objective job scheduling in a wafer fabrication factory
Toly Chen et al.
NEURAL COMPUTING & APPLICATIONS (2013)
A slack-diversifying nonlinear fluctuation smoothing rule for job dispatching in a wafer fabrication factory
Yi-Chi Wang et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2013)
Flexible flow shop scheduling with stochastic processing times: A decomposition-based approach
S. H. Choi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2012)
A self-adaptive agent-based fuzzy-neural scheduling system for a wafer fabrication factory
Toly Chen
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Solving mixed-integer nonlinear programming problems using improved genetic algorithms
Tawan Wasanapradit et al.
KOREAN JOURNAL OF CHEMICAL ENGINEERING (2011)
Exploring new possibilities for case-based explanation of artificial neural network ensembles
Michael Green et al.
NEURAL NETWORKS (2009)
Job remaining cycle time estimation with a post-classifying fuzzy-neural approach in a wafer fabrication plant: a simulation study
T. Chen
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2009)
A genetic algorithm for the Flexible Job-shop Scheduling Problem
F. Pezzella et al.
COMPUTERS & OPERATIONS RESEARCH (2008)
Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method
Shen Changyu et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2007)
Integrated production and material handling scheduling using mathematical programming and constraint programming
Ghada El Khayat et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2006)
Pareto archived simulated annealing for job shop scheduling with multiple objectives
R. K. Suresh et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2006)
Flexible flow shop scheduling: optimum, heuristics and artificial intelligence solutions
H Wang
EXPERT SYSTEMS (2005)
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
FHF Leung et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2003)