Backpropagation Network time-Series Forecasting 源碼, 經(jīng)典的BPN人工神經(jīng)網(wǎng)絡(luò)例子源碼
標(biāo)簽： Backpropagation Forecasting time-Series Network
上傳時(shí)間： 2015-01-05
上傳用戶：tb_6877751
Back propagation neural networks and its Application: time-Series Forecasting Prediction of the Annual Number of Sunspots
標(biāo)簽： Application propagation time-Series Forecasting
上傳時(shí)間： 2015-05-13
上傳用戶：離殤
A fast customizable function for locating and measuring the peaks in noisy time-Series signals.
標(biāo)簽： customizable time-Series measuring function
上傳時(shí)間： 2013-12-19
上傳用戶：changeboy
A fast customizable function for locating and measuring the peaks in noisy time-Series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background.
標(biāo)簽： customizable time-Series measuring function
上傳時(shí)間： 2015-08-10
上傳用戶：xhz1993
A fast customizable function for locating and measuring the peaks in noisy time-Series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.
標(biāo)簽： customizable time-Series measuring function
上傳時(shí)間： 2015-08-10
上傳用戶：invtnewer
混沌時(shí)間序列分析與預(yù)測(cè)工具箱 Version1.0 (Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 1.0)
標(biāo)簽： Prediction 1.0 Analysis Version
上傳時(shí)間： 2015-09-11
上傳用戶：trepb001
用來計(jì)算混沌時(shí)間序列的延遲時(shí)間,It s applied to calculate the delay time of chaos time series,
標(biāo)簽： time calculate applied series
上傳時(shí)間： 2015-10-11
上傳用戶：songrui
a neural network,Recursive SOM and Marge SOM ,can be use for time series and data fit.
標(biāo)簽： Recursive SOM and network
上傳時(shí)間： 2013-12-17
上傳用戶：cxl274287265
混沌時(shí)間序列預(yù)測(cè)(chaotic time series prediction)中的Volterra級(jí)數(shù)一步預(yù)測(cè) 、Volterra級(jí)數(shù)多步預(yù)測(cè)方法
標(biāo)簽： Volterra prediction chaotic series
上傳時(shí)間： 2016-02-03
上傳用戶：asddsd
Time series data mining.
標(biāo)簽： series mining Time data
上傳時(shí)間： 2014-01-22
上傳用戶：gmh1314
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