Immune Feedforward Neural Network for Fault Detection

2011Acta Scientiarum Naturalium Universitatis SunyatseniEngineering被引 2

摘要

An immune algorithm-based approach was developed to optimize a feedforward neural network. The network architecture, activation functions, and training method were encoded as individuals with an ap- propriate method for individual selection. The immune feedforward neural network is then applied to fault detection of water quality monitoring equipment. This gives better performance than a feedforward neural network.

引用本文（GB/T 7714）

陈孝平, 黄鹤. Immune Feedforward Neural Network for Fault Detection[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2011.

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