neural network

Function approximation using neural network without using toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for function approximation using neural network without using toolbox. This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2). We didn't use any feature of neural network toolbox.

Neural Network Matlab Code

Artificial neural networks (ANNs) are computational models inspired by an animal's central nervous systems (in particular the brain) which is capable of machine learning as well as pattern recognition. Artificial neural networks are generally presented as systems of interconnected "neurons" which can compute values from inputs.

Neural network simple programs for beginners in matlab

The following Matlab project contains the source code and Matlab examples used for neural network simple programs for beginners . The tutorial contains programs for PERCEPTRON and LINEAR NETWORKS  Classification with a 2-input perceptron  Classification with a 3-input perceptron  Classification with a 2-neuron perceptron  Classification with a 2-layer perceptron Pattern association with a linear neuron  Training a linear layer  Adaptive linear layer  Linear prediction  Adaptive linear prediction .

Shape recognition in matlab

The following Matlab project contains the source code and Matlab examples used for shape recognition. 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).
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