基于粒子群优化改进BP神经网络的知识转移效果预测

Lin Wang
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引用次数: 1

摘要

采用改进粒子群算法(PSO)对BP神经网络进行优化,建立知识转移效果的预测模型,并与BP神经网络模型的预测效果进行比较。研究结果表明,基于粒子群优化(PSO)的BP神经网络的知识转移效应预测模型的预测效果是由于BP神经网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Knowledge Transfer Effect Based on Particle Swarm Optimization Improved BP Neural Network
BP neural network is optimized by improved particle swarm optimization (PSO), the prediction model of knowledge transfer effect is established, and the prediction effect is compared with that of BP neural network model. The research results show that the prediction effect of knowledge transfer effect prediction model based on particle swarm optimization (PSO) optimized BP neural network is due to BP neural network.
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