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researcher

W. Yeh

26 papers hereh-index 518.7k citations297 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author20
  • first author3
  • middle author1
  • last author2

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.DM7
  • cs.NE4
  • cs.NI4
  • cs.DS3
  • cs.DC2
  • eess.SY2
same name
  • W. Yeh — 1 paper, h 13
  • W. Yeh — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedA Novel Generalized Artificial Neural Network for Mining Two-Class Datasets

12 citations · 34 across the 22 of their papers we have counts for

collaborators
Showing cs.NEShow all

4 papers · 1 filter

cs.NE2021

Implementation of Parallel Simplified Swarm Optimization in CUDA

Wei-Chang Yeh, Zhenyao Liu, Shi-Yi Tan +1

As the acquisition cost of the graphics processing unit (GPU) has decreased, personal computers (PC) can handle optimization problems nowadays. In optimization computing, intellige…

cs.NE2021

Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization

Wei-Chang Yeh, Yi-Ping Lin, Yun-Chia Liang +1

Convolutional neural networks (CNNs) are widely used in image recognition. Numerous CNN models, such as LeNet, AlexNet, VGG, ResNet, and GoogLeNet, have been proposed by increasing…

cs.NE2020

Simplified Swarm Optimization for Bi-Objection Active Reliability Redundancy Allocation Problems

Wei-Chang Yeh

The reliability redundancy allocation problem (RRAP) is a well-known tool in system design, development, and management. The RRAP is always modeled as a nonlinear mixed-integer non…

cs.NE2019★ 12 cited

A Novel Generalized Artificial Neural Network for Mining Two-Class Datasets

Wei-Chang Yeh

A novel general neural network (GNN) is proposed for two-class data mining in this study. In a GNN, each attribute in the dataset is treated as a node, with each pair of nodes bein…

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