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Wei-Chang Yeh

Showing results (1-10 of 12) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|August 24, 2016
A Squeezed Artificial Neural Network for the Symbolic Network Reliability Functions of Binary-State NetworksWei-Chang Yeh
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
New parameter-free simplified swarm optimization for artificial neural network training and its application in the prediction of time seriesWei-Chang Yeh
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|March 23, 2011
Knowledge discovery employing grid scheme least squares support vector machines based on orthogonal design bee colony algorithmTsung-Jung Hsieh, Wei-Chang Yeh
Plos One|September 9, 2015
Accelerated Simplified Swarm Optimization with Exploitation Search Scheme for Data ClusteringWei-Chang Yeh, Chyh-Ming Lai
Scientific Reports|November 9, 2024
Self-learning salp swarm algorithm for global optimization and its application in multi-layer perceptron model trainingZhenlun Yang, Yunzhi Jiang, Wei-Chang Yeh
Scientific Reports|May 7, 2026
Efficiently finding earliest and latest paths via binary weighting in multi-objective network routingWei-Chang Yeh, Majid Forghani-Elahabad, Amit Kumar
Plos One|November 16, 2016
A New Soft Computing Method for K-Harmonic Means ClusteringWei-Chang Yeh, Yunzhi Jiang, Yee-Fen Chen, et al.
Plos One|January 4, 2017
Correction: A New Soft Computing Method for K-Harmonic Means ClusteringWei-Chang Yeh, Yunzhi Jiang, Yee-Fen Chen, et al.
Bioengineering (Basel, Switzerland)|June 26, 2025
A Lightweight Breast Cancer Mass Classification Model Utilizing Simplified Swarm Optimization and Knowledge DistillationWei-Chang Yeh, Wei-Chung Shia, Yun-Ting Hsu, et al.
Bioengineering (Basel, Switzerland)|October 25, 2024
The Application of Deep Learning to Accurately Identify the Dimensions of Spinal Canal and Intervertebral Foramen as Evaluated by the IoU IndexChih-Ying Wu, Wei-Chang Yeh, Shiaw-Meng Chang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|August 24, 2016
A Squeezed Artificial Neural Network for the Symbolic Network Reliability Functions of Binary-State NetworksWei-Chang Yeh
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
New parameter-free simplified swarm optimization for artificial neural network training and its application in the prediction of time seriesWei-Chang Yeh
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|March 23, 2011
Knowledge discovery employing grid scheme least squares support vector machines based on orthogonal design bee colony algorithmTsung-Jung Hsieh, Wei-Chang Yeh
Plos One|September 9, 2015
Accelerated Simplified Swarm Optimization with Exploitation Search Scheme for Data ClusteringWei-Chang Yeh, Chyh-Ming Lai
Scientific Reports|November 9, 2024
Self-learning salp swarm algorithm for global optimization and its application in multi-layer perceptron model trainingZhenlun Yang, Yunzhi Jiang, Wei-Chang Yeh
Scientific Reports|May 7, 2026
Efficiently finding earliest and latest paths via binary weighting in multi-objective network routingWei-Chang Yeh, Majid Forghani-Elahabad, Amit Kumar
Plos One|November 16, 2016
A New Soft Computing Method for K-Harmonic Means ClusteringWei-Chang Yeh, Yunzhi Jiang, Yee-Fen Chen, et al.
Plos One|January 4, 2017
Correction: A New Soft Computing Method for K-Harmonic Means ClusteringWei-Chang Yeh, Yunzhi Jiang, Yee-Fen Chen, et al.
Bioengineering (Basel, Switzerland)|June 26, 2025
A Lightweight Breast Cancer Mass Classification Model Utilizing Simplified Swarm Optimization and Knowledge DistillationWei-Chang Yeh, Wei-Chung Shia, Yun-Ting Hsu, et al.
Bioengineering (Basel, Switzerland)|October 25, 2024
The Application of Deep Learning to Accurately Identify the Dimensions of Spinal Canal and Intervertebral Foramen as Evaluated by the IoU IndexChih-Ying Wu, Wei-Chang Yeh, Shiaw-Meng Chang, et al.
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