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A Feedforward Neural Network Optimized by Fuzzy Particle Swarm for Fault Diagnosis of Hexapod Robots

2025-09-22

Abstract excerpt

<title>Abstract</title> <p>In fault diagnosis of hexapod robots, a Feedforward Neural Network (FNN) is commonly used to classify various robot states. Traditional optimization methods such as Backpropagation (BP) and Particle Swarm Optimization (PSO) are applied to train the network. However, these methods have limited ability to dynamically adjust the network weights. The adjustment range is narrow and often lea...

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Literature Corpus work
c8d561c7-b2ea-565e-ba30-1bd274d780e5
DOI
10.21203/rs.3.rs-7540072/v1
Open publication

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A Feedforward Neural Network Optimized by Fuzzy Particle Swarm for Fault Diagnosis of Hexapod RobotsDOI 10.21203/rs.3.rs-7540072/v1
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