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Genetic algorithm optimized BP neural network (matlab)

This procedure is the use of genetic algorithm optimized BP neural network algorithm for higher accuracy than simply using BP neural network, the program is divided into three files, ga_bp is the primary file, function is related to the other two files only need to be placed in a single folder to ru...
  Matlab        Matlab     

matlab bp sfunction neural network

matlab bp sfunction neural network codes by the C language...
  Matlab        Matlab     

New ways to use matlab neural network training function Newff

新版 matlab neural network training function in Newff Using method...
  Matlab        Matlab     

prediction with neural networks in matlab

this program can be used to compare different neural networks for prediction of time series data such as wind speed prediction. it can perfome afew hours ahead prediction for wind speed data....
  Matlab        Matlab     

matlab neural network analysis of 30 case _ the book [PDF]+ source code package download

neural network analysis of 30 case <<matlab >> book [PDF]+ source code package download...
  Matlab        Matlab     

matlab neural network case

Case analysis on neural network, plus the related data. Program is a 30 case studies from the matlab+ neural network, fully covers the trends in development of neural network in recent years, and major expansion program overall....
  Matlab        Matlab     

baysian,neural network,matlab source code

this program is based on neural network and baysian method for improving a better output on speech signals. in this method is used MFCC algorithm and VAD for removing the silence....
  Matlab        Matlab     

System modeling and identification based on BP neural network prediction and simulation of matlab programs

Based on BP neural network on with noise of second-order system of identification forecast, used typical of three layer network topology structure is entered layer, and implied layer and output layer, using minimum are party errors and gradient fell method, by errors of reverse spread to constantly...
  Graph        Matlab     

Hopfield neural network

A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but co...
  Matlab        Matlab     

Estimation of body fat with neural networks

This code presents the estimation of body fat percentage using neural networks. We explore two different methods for classification and estimation, the MLP and SOM. Showing the methodology used in each and the best result. Finally we compare the results achieved and conclude....
  Matlab        Matlab     

svm_matlab_image_processing

Support Vector Machine (SVM) was first heard in 1992, introduced by Boser, Guyon, and Vapnik in COLT-92. Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. They belong to a family of generalized linear classifiers. In another te...
  Matlab        Matlab     

Wavelet neural network

This toolbox is a fully object-oriented toolbox with GUI for "Wavelet neural network". The Training Algorithm is " Hybrid Markove Chain Monte Carlo-based Bayesian" Also, A program to generate a Chaotic time series, called "Mackay-Glass", can be found from "MackayGlass" folder. (C) Amir B...
  Matlab        Matlab     

Written in matlab Hopfield network

Constructs a Hopfield neural network using matlab, not with the matlab function such as newhop and SIM implementation, has a GUI interface....
  Matlab        Matlab     

Gonzalez, image processing matlab programs

Procedure code description P0201:matlab assigned For loops P0202:matlab For loops and if conditions in the P0203:matlab P0205:matlab basics of image processing P0206:matlab advanced image processing operations P0207: based on RGB image creates a grayscale image P02...
  Matlab        Others     

spiking neural network

An artificial Spiking neural networks (SNN) is based  on the concept of mammals’ neural system, which is  capable to perform a wide range of complicated actions.  Although various type of SNN implementations have  been introduced, among all multilayer structures, learning&n...
  Matlab        C++     

back propagation algorithm for neural networks

iris data set for neural network. back propagation algorithm is implemented which is one of the best learning technique for neural network. in pre-processing step min-max normalization is used....
  Matlab        Matlab     

implementation Kohonen for neural network

implementation Kohonen for neural network implementation Kohonen for neural network implementation Kohonen for neural network implementation Kohonen for neural network implementation Kohonen for neural network implementation Kohonen for neural network implementati...
  Matlab        Matlab     

neural network

a program for using neural networks.The neural networks is a way to model any input to output relations based on some input output data when nothing is known about the model. This example shows you a very simple example and its modelling through neural network using matlab....
  Matlab        Matlab     

Probabilistic Method of neural network

Following code is for the identification applications using neural network. The probabilistic model of neural network helps to identify the models and the intelligence is added by neural network....
  Matlab        Matlab     

It consists on how to identify 3 shapes (rectangle, triangle and circle) using a neural network.

A very simple program that trains a neural network with 9 images(3 rectangles, 3 triangles and 3 circles)and then simulates the neural network in way to recognize 3 others images(1 rectangles, 1 triangles and 1 circles)....
  Matlab        Matlab     

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