现在的接口大多数都是基于开源的AXIS开发的,现在提供一个利用hessian开发接口的实例,希望对大家有所帮助.
上传时间： 2014-01-21
上传用户：13681659100
hessian协议使用例子，完整的eclipse工程文件。
上传时间： 2013-12-24
上传用户：lifangyuan12
我找到的较好用的高维非线性函数的全局优化程序，使用说明参见解压后的MCS包。该程序不需要hessian矩阵。
上传时间： 2015-05-05
上传用户：从此走出阴霾
一种高级流形学习算法介绍，hessian Eigenmaps，这种算法最先在这篇文章上绍，是流形学习算法的经典文章。
上传时间： 2013-12-15
上传用户：yangbo69
mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36 Methods obtained from various authors. (1) MDS -- Michael Lee (2) ISOMAP -- J. Tenenbaum, de Silva, & Langford (3) LLE -- Sam Roweis & Lawrence Saul (4) hessian LLE -- D. Donoho & C. Grimes (5) Laplacian -- M. Belkin & P. Niyogi (6) Diffusion Map -- R. Coifman & S. Lafon (7) LTSA -- Zhenyue Zhang & Hongyuan Zha
标签： demonstration Mathematics Department University
上传时间： 2016-10-29
上传用户：youmo81
This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of ％ weights in the network if the network has been trained with ％ weight decay, an estimate of the noise variance, and the Gauss-Newton ％ hessian. ％
标签： generalization calculates prediction function
上传时间： 2014-12-03
上传用户：maizezhen
This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％ ％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) ％ produces the final prediction error estimate (fpe), the effective number ％ of weights in the network if it has been trained with weight decay, ％ an estimate of the noise variance, and the Gauss-Newton hessian. ％
标签： generalization calculates prediction function
上传时间： 2016-12-27
上传用户：脚趾头
