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/194767/8186655

m cm_mod3_mlik.m

function [loglik, yhat, neuron1, neuron2] = cm_mod3_mlik(beta); global squasher data1 minx miny maxx maxy malags nwlags neuronxarg_ygap cthres_ygap neuronxarg_inf cthres_inf neuronxarg_yvol cthres_yv
www.eeworm.com/read/483607/6599510

py singleneuron_sinosc.py

########################################################### # with a delay&sum readout it's possible to train # a sine osc with just one neuron # # see " Echo State Networks with Filter Neurons and a
www.eeworm.com/read/4033/23813

h genes.h

#ifndef GENES_H #define GENES_H //----------------------------------------------------------------------- // // Name: GeneGenes.h // // Author: Mat Buckland 2002 // // Desc: neuron and link
www.eeworm.com/read/259886/11759775

m demolin6.m

%% Linearly Dependent Problem % A linear neuron is trained to find the minimum error solution for a problem % with linearly dependent input vectors. If a linear dependence in input % vectors is no
www.eeworm.com/read/270994/11013359

xml xor_input_1.xml

www.eeworm.com/read/270994/11013368

xml xor_input_1b.xml

www.eeworm.com/read/259886/11759386

m demohop3.m

%% A Three Neuron Hopfield Network % A Hopfield network is designed with target stable points. The behavior of the % Hopfield network for different initial conditions is studied. % % Copyright 19
www.eeworm.com/read/380488/9144956

txt result.txt

Neurtal Entity test application AI Neural Entity Version 1.0.5 ********************************** Testing Didactic neuron connection create a sample meural Process of boolean operators 0) 0 OR 0
www.eeworm.com/read/185184/9052430

cpp dtest.cpp

/** * @file dtest.cpp * @brief Test program of the punnets library. * * This program tests the performance of delayed firing simulations. * Every neuron has an sinusoidal external input and
www.eeworm.com/read/270548/11033319

m leaky_esn.m

function internalState = leaky_esn(totalstate , esn , varargin ) % Update internal state using the leaky integrator neuron model. % % input arguments: % totalstate: the previous totalstate, vector