代码搜索：NetWork
找到约 10,000 项符合「NetWork」的源代码
代码结果 10,000
www.eeworm.com/read/139738/13137329
conf nachos.conf
Machine.stubFileSystem = true
Machine.processor = true
Machine.console = true
Machine.disk = false
Machine.bank = false
Machine.networkLink = true
Processor.usingTLB = true
Processor.numPhysPages = 16
www.eeworm.com/read/139738/13137335
java netkernel.java
package nachos.network;
import nachos.machine.*;
import nachos.threads.*;
import nachos.userprog.*;
import nachos.vm.*;
import nachos.network.*;
/**
* A kernel with network support.
*/
public clas
www.eeworm.com/read/241276/13159091
boost readme.boost
A collection of Matlab scripts to boost a Matlab neural network
Requires Matlab Neural Network toolbox.
Script P450bskel.m reads data files (not supplied) and the calls
other scripts to perform boost
www.eeworm.com/read/240954/13186316
m elman_app.m
%Elman Application
%
clf
figure(gcf)
setfsize(500,500);
echo on
% MEWELM —— 建立一个Elman神经网络
% TRAIN —— 训练一个神经网络
% SIM —— 对一个神经网络进行仿真
pause %Strik any key to creat a network
clc
P1=sin(1:
www.eeworm.com/read/138927/13201800
txt plan.txt
0.6
---
add support for virtual machine.
0.5
---
update to object oriented Fava. (use ftk?)
0.4
---
- Thread support.
- a simple debugger.
- Hash API
- Map API
- Network API
0.3
---
- full embedded
www.eeworm.com/read/138798/13211954
m mdnpak.m
function w = mdnpak(net)
%MDNPAK Combines weights and biases into one weights vector.
%
% Description
% W = MDNPAK(NET) takes a mixture density network data structure NET
% and combines the netw
www.eeworm.com/read/138798/13211959
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampli
www.eeworm.com/read/138798/13212098
m nethess.m
function [h, varargout] = nethess(w, net, x, t, varargin)
%NETHESS Evaluate network Hessian
%
% Description
%
% H = NETHESS(W, NET, X, T) takes a weight vector W and a network data
% structure N
www.eeworm.com/read/138798/13212327
m mdn.m
function net = mdn(nin, nhidden, ncentres, dim_target, mix_type, ...
prior, beta)
%MDN Creates a Mixture Density Network with specified architecture.
%
% Description
% NET = MDN(NIN, NHIDDEN, NC
www.eeworm.com/read/138798/13212330
m rbfpak.m
function w = rbfpak(net)
%RBFPAK Combines all the parameters in an RBF network into one weights vector.
%
% Description
% W = RBFPAK(NET) takes a network data structure NET and combines the
% com