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/336465/12442386
nlogo ---perforant.nlogo
breeds [entorhinal dentategyrus ca3 ca1 neuron1 neuron2]
globals [lifespan fade]
patches-own [passover]
neuron1-own [age]
neuron2-own [age]
to setup
ca
entorhinal-setup
dentategyrus-set
www.eeworm.com/read/380486/9145149
c ga_client.c
/* ga_client.c */
/* Copyright 2004-2007 Oswaldo Morizaki Hirakata */
/* This file is part of ga-nn-ag.
ga-nn-ag is free software; you can redistribute it and/or modify
it under the terms
www.eeworm.com/read/494359/6375639
m find_remodify_neurons.m
function [node_idx]=find_remodify_neurons(result2,err_idx,t_x,t_y)
% find out the neurons that need to be modified according to the changes
% imported to the training sets, this operation could be i
www.eeworm.com/read/380486/9145066
c back_propagation.c
/* back_propagation.c */
/* Copyright 2004 Oswaldo Morizaki */
/* This file is part of ga-nn-ag.
ga-nn-ag is free software; you can redistribute it and/or modify
it under the terms of th
www.eeworm.com/read/194767/8186567
m cm_mod4_out.m
function [error, yhat] = cm_mod4_out(beta);
global squasher data1 minx miny maxx maxy malags neuronxarg_ygap cthres_ygap neuronxarg_inf cthres_inf neuronxarg_yvol cthres_yvol ;
y = data1(:,1);
x
www.eeworm.com/read/366702/2879770
c pr27907.c
typedef double fann_type;
typedef struct { } _G_fpos64_t;
struct fann_neuron
{
fann_type value;
}
__attribute__ ((packed));
struct fann_layer
{
struct fann_neuron *last_neuron;
};
struct fann
www.eeworm.com/read/380486/9145116
c isolate_region.c
/* isolate_region.c */
/* Copyright 2004-2007 Oswaldo Morizaki */
/* This file is part of ga-nn-ag.
ga-nn-ag is free software; you can redistribute it and/or modify
it under the terms of
www.eeworm.com/read/459924/7262666
c fann_train_data.c
/*
* Fast Artificial Neural Network Library (fann) Copyright (C) 2003
* Steffen Nissen (lukesky@diku.dk)
*
* This library is free software; you can redistribute it and/or modify it
* under
www.eeworm.com/read/259886/11760049
m demolin7.m
%% Too Large a Learning Rate
% A linear neuron is trained to find the minimum error solution for a simple
% problem. The neuron is trained with the learning rate larger than the one
% suggested by
www.eeworm.com/read/380486/9145191
c forward_propagation.c
/* forward_propagation.c */
/* Copyright 2004-2007 Oswaldo Morizaki */
/* This file is part of ga-nn-ag.
ga-nn-ag is free software; you can redistribute it and/or modify
it under the ter