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pca bAsed Face Recognition System Using ORL Database

This package implements a well-known pca-bAsed face recognition method, which is called 'Eigenface'. The program is easy to use. Furthermore, a sample Project file 'Projectpca.m' is added that demonstrate how to use, ORL training and test database is also included to show Performance comparison for...
  Matlab        Matlab     

Genetic algorithm bAsed neural network training source

6 variable input using genetic algorithms, 50, a hidden layer, 3 output variables constitute the neural network model for training, that contains the source data and source code, you can directly modify the application....
  Algorithm        Matlab     

networks questions

Computer network HW , who can help me to finish? please contact my QQ number 907553033 thanks...
  Network questions        C     

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     

pca people Face identified Shi

% A sample script, which shows the usage of functions, included in % pca-bAsed face recognition system (Eigenface method) % % See also: CREATEDATABASE, EIGENFACECORE, RECOGNITION % Original version by Amir Hossein Omidvarnia, October 2007 clear all clc close all %You can custo...
  Matlab        Matlab     

pc algorithm to construct gene regulatory network

inferring GRNs from gene expression data considering the non-linear dependence and topological structure of GRNs by employing path consistency algorithm (pca) bAsed on conditional mutual information (CMI)gene regulatory networks from Inferring gene expression data by path consistency algorithm bAsed...
  Matlab        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...
  CSharp        C#     

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     

Introduction to neural network in java

Introduction to neural network in java. Several samples to show how to simulate neural networks and resolve classic problems with this approach....
  Java Development        Java     

Kernel pca and Pre-Image Reconstruction

Principal component analysis (pca) is a popular tool for linear dimensionality reduction and feature extraction. Kernel pca is the nonlinear form of pca, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the...
  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     

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     

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++     

neural network source codes

God forgive all of us and who is created this code and who making some improve or modified, then he share it 1. Adaline network Pattern Recognition  Classification of Digits 0-9 2.Backpropagation network Time-Series Forecasting  Prediction of the...
  Java Development        Java     

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     

BP neural network optimization algorithm

BP learning algorithm has the advantage of the simple structure,  adjustable parameters and good  operability . Although the BP neural network is the most widely used algorithm in artificial neural network, but also has some defects, for example the learning c...
  Algorithm        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     

Sharpcap-network caught

Sharppcap is Tamir Gal specially for. Net development environment to write packet capture framework, it is perfect combination of core component Winpcap and Windows networking functions. The Assembly inherited Winpcap overtook Winpcap and it uses message mechanism, most vividly of the advantages of...
  Socket        C#     

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     

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     

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