代码搜索:Neuron

找到约 763 项符合「Neuron」的源代码

代码结果 763
www.eeworm.com/read/194767/8186673

m cm_mod4_gmm.m

function [error, yhat, Jstat, Jsig, neuron1, V, SIGB] = cm_mod4_gmm(beta); global squasher data1 minx miny maxx maxy malags nwlags instlags z nwestdum global neuronxarg_ygap cthres_ygap neuronxarg_
www.eeworm.com/read/294886/8195865

m nnd2n2.m

function nnd2n2(cmd,arg1,arg2,arg3) %NND2N2 Two-input neuron demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % Firs
www.eeworm.com/read/294886/8195910

m nnd2n1.m

function nnd2n1(cmd,arg1,arg2,arg3) %NND2N1 One-input neuron demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % Firs
www.eeworm.com/read/414357/11119099

m nnd2n2.m

function nnd2n2(cmd,arg1,arg2,arg3) %NND2N2 Two-input neuron demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % $R
www.eeworm.com/read/414357/11119144

m nnd2n1.m

function nnd2n1(cmd,arg1,arg2,arg3) %NND2N1 One-input neuron demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % $R
www.eeworm.com/read/134893/13972157

m nnd2n2.m

function nnd2n2(cmd,arg1,arg2,arg3) %NND2N2 Two-input neuron demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % Firs
www.eeworm.com/read/134893/13972186

m nnd2n1.m

function nnd2n1(cmd,arg1,arg2,arg3) %NND2N1 One-input neuron demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % Firs
www.eeworm.com/read/423552/10550116

m mfbox_som.m

function [grid,cost]=mfbox_som(grid,gdim,data,w,varargin) % usage: [grid,cost]=mfbox_som(grid,gdim,data,w,varargin) % % grid - neuron positions to be learned (dim1 x dim2 x ... x dimn x n) or (gnum x
www.eeworm.com/read/194767/8186639

m cm_mod1_new.m

function [error, yhat, pderiv,neuron1] = cm_mod1(beta); global data1 squasher maxx minx maxy miny malags neuronxarg_inf cthres_inf; y = data1(:,1); x = data1(:,2:end); [nx, cx] = size(x); % beta(
www.eeworm.com/read/182193/5264791

java layer.java

package structure; /** * 网络中的一个层(隐层或输出层) * 一层中有几个神经元就有几个输出 * */ public class Layer { public int num; //一层中神经元的个数,也即输出的个数 public Neuron neurons[]; public doubl