文件名称:ESNtools
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [MacOS] [Matlab] [源码]
- 上传时间：
- 2014-03-09
- 文件大小：
- 66kb
- 下载次数：
- 0次
- 提 供 者：
- m**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
matlab下ESN的工具This software is intended for research use by experienced Matlab users
and includes no warranties or services.-In alphabetical order here is what the routines are doing:
analogToUnitCoded:
- helper function for coding a 1-dim analog signal into a unit-coded
signal (aka "local coding")
compute_NRMSE:
- computes the normalized mean squared error of the esn, given the
output of the esn and the actual teacher.
compute_statematrix:
- runs the input through the ESN. The reservoir (plus input) states of
the units are collected in matrix which is returned by the function
and includes no warranties or services.-In alphabetical order here is what the routines are doing:
analogToUnitCoded:
- helper function for coding a 1-dim analog signal into a unit-coded
signal (aka "local coding")
compute_NRMSE:
- computes the normalized mean squared error of the esn, given the
output of the esn and the actual teacher.
compute_statematrix:
- runs the input through the ESN. The reservoir (plus input) states of
the units are collected in matrix which is returned by the function
(系统自动生成,下载前可以参看下载内容)
下载文件列表
ESN_Toolbox
...........\.DS_Store
__MACOSX
........\ESN_Toolbox
........\...........\._.DS_Store
ESN_Toolbox\analogToUnitCoded.m
...........\compute_error.m
...........\compute_NRMSE.m
...........\compute_statematrix.m
...........\compute_teacher.m
...........\demoScript.m
__MACOSX\ESN_Toolbox\._demoScript.m
ESN_Toolbox\DOCUMENTATION.txt
...........\ESNtools.zip
...........\generate_esn.m
__MACOSX\ESN_Toolbox\._generate_esn.m
ESN_Toolbox\generate_internal_weights.m
...........\generate_NARMA_sequence.m
...........\HISTORY.txt
...........\identity.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
__MACOSX\ESN_Toolbox\._plot_states.m
ESN_Toolbox\pseudoinverse.m
...........\save_esn.m
...........\scaleshiftData.m
...........\shiftData.m
...........\sigmoid01.m
...........\sigmoid01_inv.m
...........\split_train_test.m
...........\test_esn.m
...........\train_esn.m
__MACOSX\ESN_Toolbox\._train_esn.m
ESN_Toolbox\twi_esn.m
...........\unitCodedToAnalog.m
...........\wiener_hopf.m
...........\WS_FTP.LOG