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Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully % connected) networks can be trained. % % The activation functions can either be linear or tanh. The network % architecture is defined by the matrix NetDef , which has of two % rows. The first row specifies the hidden layer while the second % specifies the output layer.-Train a two layer neural network with a recursive prediction error algorithm ( recursive Gauss-Newton ). Also pruned (ie, not fully connected) networks can be trained. The activation functions can either be linear or tanh. The network architecture is defined by the matrix NetDef, which has of two rows. The first row specifies the hidden layer while the second specifies the output layer.
Date : 2025-07-12 Size : 3kb User : 张镇

使用RPE-LTP方法实现GSM系统语音编码技术,包含全部程序-RPE-LTP method used to achieve speech coding technology GSM system, including all procedures
Date : 2025-07-12 Size : 14kb User : tiaozhi

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RPE Algorithm for system identification
Date : 2025-07-12 Size : 1kb User : pfrei
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