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： 458

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

版权声明：如果侵犯了您的权益请与我们联系，我们将在24小时内删除。

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