代码搜索：Multilayer

找到约 128 项符合「Multilayer」的源代码

代码结果 128
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py setup_unix.py

#!/usr/bin/env python from distutils.core import setup, Extension #from glob import glob VERSION='1.2.0' LONG_DESCRIPTION="""\ Fast Artificial Neural Network Library implements multilayer artificial
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www.eeworm.com/read/167475/9967929

h mlnet.h

/* Copyright (c) 2001 Author: Konstantin Boukreev E-mail: konstantin@mail.primorye.ru Created: 18.10.2001 15:59:17 Version: 1.0.0 feedforward multilayer neural network back-propag
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www.eeworm.com/read/197982/7958782

h mlnet.h

/* Copyright (c) 2001 Author: Konstantin Boukreev E-mail: konstantin@mail.primorye.ru Created: 18.10.2001 15:59:17 Version: 1.0.0 feedforward multilayer neural network back-propag
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www.eeworm.com/read/267292/4268229

m newarchlf.m

function NetArch = newarchlf(neuron_num , input_num , input_type , neuron_type , weight_type , delay_type) % NEWARCHLF Create multilayer feedforward architecture with local % feedb
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www.eeworm.com/read/267292/4268230

m newarchff.m

function NetArch = newarchff(neuron_num , input_num , input_type , neuron_type , weight_type , delay_type) % NEWARCHFF Create multilayer feedforward architecture for Biological % N
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www.eeworm.com/read/267292/4268231

m newarchgf.m

function NetArch = newarchgf(neuron_num , input_num , input_type , neuron_type , weight_type , delay_type) % NEWARCHGF Create multilayer feedforward architecture with general % fee
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www.eeworm.com/read/267292/4268232

m newarchlc.m

function NetArch = newarchlc(neuron_num , input_num , input_type , neuron_type , weight_type , delay_type) % NEWARCHLC Create multilayer feedforward architecture with lateral % co
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www.eeworm.com/read/368286/9702719

h mlnet.h

/* Copyright (c) 2001 Author: Konstantin Boukreev E-mail: konstantin@mail.primorye.ru Created: 18.10.2001 15:59:17 Version: 1.0.0 feedforward multilayer neural network back-propag
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www.eeworm.com/read/417673/10980918

m modmlp.m

function RMSE = modmlp(task, mlp_config, train_opt) % MODMLP % MLP (multilayer perceptron) with modified sigmoidal functions % Roger Jang, Nov 6, 1995 % Set up default input arguments if nargin < 3
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www.eeworm.com/read/467198/7020125

m modmlp.m

function RMSE = modmlp(task, mlp_config, train_opt) % MODMLP % MLP (multilayer perceptron) with modified sigmoidal functions % Roger Jang, Nov 6, 1995 % Set up default input arguments if nargin < 3
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