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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     

design Perceptron neural network to distinguish three classes

The (MATLAB) code to design Perceptron neural network to distinguish three classes (Male, female, and Child). Using F0 only for simplification....
  neural network        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     

neural-network-bAsed Contouring Control for Robotic Manipulators in Operational Space

neural-network-bAsed Contouring Control for Robotic Manipulators in Operational Space This brief presents a contouring control scheme for robotic manipulators. The geometric properties of the desired contour are incorporated in the controller design phase, and the resulting&nb...
  Matlab        PDF     

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     

A Particle Swarm Optimized Fuzzy neural network For Bankruptcy Prediction

Since the excellent performances of treating non- obtained from PSO-FNN are much higher than the ones linear data with self-learning capability, the neural networks obtained from NNs. To make this clearer, an illustrative (NNs) are wildly use in financial prediction problem. But the NNs examp...
  Matlab        Matlab     

neural network,perceptron,matlab

neural network....   code for cell perceptron....   matlab file..........
  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     

Four-tank process pca fault detection

Data sources for the MATLAB simulation for four-tank process, raw parameters literature also gives, solving differential equations with longgekutafa access to data. Fault detection using pca and Kpca respectively, and comparison is given....
  Matlab        Matlab     

PSO-BP neural network algorithm

Particle Swarm Optimization, also known as Particle Swarm Optimization (Particle Swarm Optimization, PSO), by J. Kennedy, R. C. Eberhart in 1995 to develop a kind of evolutionary computing, and bAsed on a simplified model of social simulation. Where "Group (swarm)" originates from the PSO...
  Matlab        Matlab     

Matlab simulation – avoidance of intelligent vehicle bAsed on neural network source code

Matlab simulation – avoidance of intelligent vehicle bAsed on neural network source code, complete program can achieve 3D simulation. Very good, and is bAsed on neural networks...
  Matlab        Matlab     

neural network

Artificial neural networks are relatively crude electronic networks of "neurons" bAsed on the neural structure of the brain.  They process records one at a time, and "learn" by comparing their classification of the record (which, at the outset, is largely arbitrary) with the known actual c...
  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     

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