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