Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals
Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals
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DOI：
10.1007/978-3-319-22186-1_65
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发表时间：
2015-08
期刊：
影响因子：
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通讯作者：
D. Al-Jumeily;A. Hussain;P. Fergus;Naeem Radi
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文献类型：
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作者：
D. Al-Jumeily;A. Hussain;P. Fergus;Naeem Radi
本文提出了利用受免疫算法启发的自组织神经网络对语音信号进行预测。使用两种语音信号，女人和男人的声音在阿拉伯语中从一到十计数。仿真结果与多层感知器神经网络进行了比较。一种新的训练算法被用于自组织多层感知器神经网络，该网络的灵感来自于使用权值衰减的免疫。仿真结果表明，使用正则化技术的多层感知器略有改善，并没有改善时，使用自组织神经网络的启发免疫算法的两个语音信号。
This paper presents the use of self-organized neural network inspired by the immune algorithm for the prediction of speech signal. Two speech signals are utilized, woman and man voices counting from one to ten in Arabic. The simulation results were compared with the multilayer perceptrons neural network. A new training algorithm was used with the self-organised multilayer perceptrons neural network that is inspired by the immune using weight decay. The simulation results indicated slight improvement of the use of regularisation technique for the multilayer perceptrons and no improvement when using the self-organized neural network inspired by the immune algorithm for the two speech signals.