回声状态神经网络进行时间序列预测我要分享

Time series prediction based on echo state neural network

状态回声网络时间序列序列预测回声状态预测

关注次数： 354

下载次数： 2

文件大小： 58K

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：利用回声状态神经网络进行时间序列预测.预测效果非常好

English Description：

The echo state neural network is used to predict the time series. The prediction effect is very good

代码预览

陈建成已改 ESNtools

...................\analogToUnitCoded.m

...................\c1.m

...................\c2.m

...................\chencompute_statematrix.asv

...................\chencompute_statematrix.m

...................\compute_error.asv

...................\compute_error.m

...................\compute_statematrix.m

...................\compute_statematrixchen.m

...................\compute_teacher.m

...................\demoScript.m

...................\demoScriptchenjiancheng.asv

...................\demoScriptchenjiancheng.m

...................\demoScriptchenjiancheng1.m

...................\demoScriptchenjiancheng2.m

...................\demoScripttest.m

...................\DOCUMENTATION.txt

...................\generate_esn.m

...................\generate_internal_weights.m

...................\generate_NARMA_sequence.m

...................\HISTORY.txt

...................\identity.m

...................\iris.data

...................\iris11.txt

...................\jianchengdemoScript.m

...................\leaky1_esn.m

...................\leaky_esn.m

...................\load_esn.m

...................\makeTimeConstantsFromRange.m

...................\myeigs.m

...................\normalizeData01.m

...................\normalizeData_min0.m

...................\plain_esn.m

...................\plot_outputWeights.m

...................\plot_sequence.m

...................\plot_states.m

...................\pseudoinverse.m

...................\save_esn.m

...................\scaleshiftData.m

...................\shiftData.m

...................\sigmoid01.m

...................\sigmoid01_inv.m

...................\split_train_test.m

...................\test_esn.asv

...................\test_esn.m

...................\train_esn.asv

...................\train_esn.m

...................\twi_esn.m

...................\unitCodedToAnalog.m

...................\Untitled.m

...................\Untitled2.m

...................\wiener_hopf.m

...................\新建文本文档.txt