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... MatlabMatlab
I downloaded this title from CodeForge.com and found it wasn't what it should have been. In fact I'm not sure what I downloaded. But it was not "solutions manual - TCPIP Protocol Suite by Behrouz A. Forouzan". I came across the solutions manual else where and thought you might want to update your fi... DocumentPDF
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... CSharpC#
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... MatlabMatlab
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... MatlabMatlab
A Bag Of Visual Words classifier for MIT Media Lab's Foodcam.
Built using OpenCV 2.3
Implementing BOVW method: Visual Categorization with Bags of Keypoints by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004.
Using O... OpenCVC++
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
Classification of Digits 0-9
Prediction of the... Java DevelopmentJava
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.... MatlabMatlab
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... MatlabMatlab
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.... MatlabMatlab
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... AlgorithmMatlab
Fast Artificial neural network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.... GUIC++
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).... MatlabMatlab
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.... MatlabMatlab
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... MatlabC++