The application of particle swarm optimization algorithm in training Forward Neural Network

机译：粒子群优化算法在训练前向神经网络中的应用

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摘要

Prorsad neural network trained with particle swarm optimization (PSO) algorithm was studied, and the new method was suggested. Compared with BP algorithm , this new method shows high effectivity.

机译：研究了用粒子群优化（PSO）算法训练的Prororad神经网络，并提出了新方法。与BP算法相比，这种新方法显示出高效率。

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来源
《ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing》|2007年||共3页
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作者
Song Shao-zhong; Zhang Li-biao; Shu-hua;
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原文格式 PDF
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中图分类 TP301-53;
关键词
learning (artificial intelligence); neural nets; particle swarm optimisation; BP algorithm; forward neural network; particle swarm optimization algorithm; training;

机译：学习（人工智能）;神经网;粒子群优化;BP算法;前向神经网络;粒子群优化算法;培训;

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4. The application of particle swarm optimization algorithm in training Forward Neural Network [C] . Song Shao-zhong, Zhang Li-biao, Shu-hua Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing, 2007 8th ACIS International Conference on . 2007

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5. A distributed particle swarm optimization implementation with applications in feed-forward neural networks. [D] . Lewis, Nathan T. A. 2008

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6. Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm [O] . Jie-Sheng Wang, Shuang Han 2015

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7. Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks [O] . Venu G. Gudise, Ganesh K. Venayagamoorthy, Senior- Member /eee 2003

机译：粒子群优化与反向传播作为神经网络训练算法的比较

The application of particle swarm optimization algorithm in training Forward Neural Network

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