LLE calculation method
標(biāo)簽： calculation method LLE
上傳時(shí)間： 2016-11-08
上傳用戶：comua
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation
標(biāo)簽： multi-instance multi-insta adapting learning
上傳時(shí)間： 2014-01-14
上傳用戶：manlian
FreeFEM is an implementation of the GFEM language dedicated to the finite element method. It provides you a way to solve Partial Differential Equations (PDE) simply. Although you can solve quite complicated problems can be solved also.
標(biāo)簽： implementation dedicated the language
上傳時(shí)間： 2016-11-13
上傳用戶：來茴
use TV and harmonic method to Inpainting
標(biāo)簽： Inpainting harmonic method use
上傳時(shí)間： 2013-11-25
上傳用戶：banyou
Beam Propagation Method
標(biāo)簽： Propagation Method Beam
上傳時(shí)間： 2014-01-05
上傳用戶：lindor
這是我學(xué)生利用Lattice Boltzmann method 做的三個(gè)工作,可以用來模擬多孔介質(zhì)滲流問題
標(biāo)簽： Boltzmann Lattice method 模擬
上傳時(shí)間： 2016-12-17
上傳用戶：x4587
Technical Manual For Chips Multilayer Antenna Matching Adjustment Method LDA31 series
標(biāo)簽： Adjustment Multilayer Technical Matching
上傳時(shí)間： 2016-12-19
上傳用戶：縹緲
英文書《The Finite Element Method Using MATLAB, Second Edition》附帶實(shí)例
標(biāo)簽： Element Edition Finite Method
上傳時(shí)間： 2016-12-20
上傳用戶：515414293
％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％ ％ Given a set of corresponding input-output pairs and an initial ％ network, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
標(biāo)簽： Levenberg-Marquardt desired network neural
上傳時(shí)間： 2016-12-27
上傳用戶：jcljkh
golden method in c, please enjoy it
標(biāo)簽： golden method please enjoy
上傳時(shí)間： 2016-12-30
上傳用戶：lmeeworm
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