递归神经网络的源代码我要分享

Recursive neural network source code

Echo-State-Network 递归神经网络 回声状态网络 状态回声网络 回声状态

关注次数: 359

下载次数: 1

文件大小: 54KB

代码分类: 智能算法

开发平台: matlab

下载需要积分: 1积分

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代码描述

中文说明:

这是递归神经网络的源代码,用到了回声状态机这种算法,是在作者网站上下载的,希望对你们有帮助。


English Description:

This is the source code of recurrent neural network, using the echo state machine algorithm, is downloaded from the author's website, hope to help you.


代码预览

freqGen

.......\.DS_Store

.......\analogToUnitCoded.m

.......\compute_error.m

.......\compute_statematrix.m

.......\compute_teacher.m

.......\demoScript.m

.......\generate_esn.m

.......\generate_freqGen_sequence.m

.......\generate_internal_weights.m

.......\generate_NARMA_sequence.m

.......\HISTORY (Automatisch gesichert).txt

.......\HISTORY.txt

.......\identity.m

.......\leaky1_esn.m

.......\leaky_esn.m

.......\load_esn.m

.......\makeTimeConstantsFromRange.m

.......\masterScriptScholarpediaExample.m

.......\myeigs.m

.......\normalizeData01.m

.......\normalizeData_min0.m

.......\plain_esn.m

.......\plot_outputWeights.m

.......\plot_sequence.m

.......\plot_states.m

.......\pseudoinverse.m

.......\README_SCHOLARPEDIA_EXAMPLE.txt

.......\README_TOOLBOX_DOCUMENTATION.txt

.......\save_esn.m

.......\scaleshiftData.m

.......\shiftData.m

.......\sigmoid01.m

.......\sigmoid01_inv.m

.......\split_train_test.m

.......\test_esn.m

.......\train_esn.m

.......\twi_esn.m

.......\unitCodedToAnalog.m

.......\wiener_hopf.m

__MACOSX

........\._freqGen

........\freqGen

........\.......\._.DS_Store

........\.......\._analogToUnitCoded.m

........\.......\._compute_error.m

........\.......\._compute_statematrix.m

........\.......\._compute_teacher.m

........\.......\._demoScript.m

........\.......\._generate_esn.m

........\.......\._generate_freqGen_sequence.m

........\.......\._generate_internal_weights.m

........\.......\._generate_NARMA_sequence.m

........\.......\._HISTORY (Automatisch gesichert).txt

........\.......\._identity.m

........\.......\._leaky1_esn.m

........\.......\._leaky_esn.m

........\.......\._load_esn.m

........\.......\._makeTimeConstantsFromRange.m

........\.......\._masterScriptScholarpediaExample.m

........\.......\._myeigs.m

........\.......\._normalizeData01.m

........\.......\._normalizeData_min0.m

........\.......\._plain_esn.m

........\.......\._plot_outputWeights.m

........\.......\._plot_sequence.m

........\.......\._plot_states.m

........\.......\._pseudoinverse.m

........\.......\._README_SCHOLARPEDIA_EXAMPLE.txt

........\.......\._save_esn.m

........\.......\._scaleshiftData.m

........\.......\._shiftData.m

........\.......\._sigmoid01.m

........\.......\._sigmoid01_inv.m

........\.......\._split_train_test.m

........\.......\._test_esn.m

........\.......\._train_esn.m

........\.......\._twi_esn.m

........\.......\._unitCodedToAnalog.m

........\.......\._wiener_hopf.m