Neural Network 源代码

function result = run_through_network(network, X) %RUN_THROUGH_NETWORK Runs a set of points through a neural network % % result …

%RBNC Radial basis neural net classifier % % W = rbnc(A,n) % % A feedforward neural network classifier with one hidden layer wi…

function [W1, B1, W2, B2, W3, B3, W4, B4] = mlpunpack(nodes, wh) % MLPUNPACK ReBEL MLP neural network weight matrices de-vectori…

% ReBEL : Recursive Bayesian Estimation Library - Toolkit % Version 0.2 % % ---CORE ROUTINES--- % % ReBEL Inference System Routin…

function Y = mlpff(olType, nodes, X, W1, B1, W2, B2, W3, B3, W4, B4) % MLPFF Calculates the output of a ReBEL feed-forward MLP n…

function [wh, nodes] = mlppack(W1, B1, W2, B2, W3, B3, W4, B4) % MLPPACK ReBEL MLP neural network weight matrices vectorizer. % …

Build Log --------------------Configuration: esemble - Win32 Debug-------------------- Command Lines Creating temporary fil…

% Neural Network Design Demonstrations. % Copyright (c) 1994 by PWS Publishing Company. % % General % nnd - Splash scre…

% MININNET % Functions for Neural Network Design demonstrations. % (Do not use if Neural Network Toolbox is available.) % % Tr…