# Rosenblatt's perceptron in matlab

The following Matlab project contains the source code and Matlab examples used for rosenblatt's perceptron.
It is a single lyer single neuron for linear sparable data classification.

The following Matlab project contains the source code and Matlab examples used for single perceptron learning.
Perceptron Learning Rule is:
% Wnew = Wold + e*p
% e = t - a
% b = bold + e
% Update the weight & bias until it prodeuces correct target for inputs.

The following Matlab project contains the source code and Matlab examples used for simple perceptron.
Perceptron is an algorithm for supervised classification of an input into one of several possible non-binary outputs. This mfile is a simple type of perceptron to who like to learn about the perceptron type of artificial neural networks

The following matlab project contains the source code and matlab examples used for backpropagation.

The following Matlab project contains the source code and Matlab examples used for the matrix implementation of the two layer multilayer perceptron (mlp) neural networks..
The matrix implementation of the MLP and Backpropagation algorithm for two-layer Multilayer Perceptron (MLP) neural networks.
Marcelo Augusto Costa Fernandes
DCA - CT - UFRN
mfernandes@dca.ufrn.br

The following Matlab project contains the source code and Matlab examples used for multilayer perceptron neural network model and backpropagation algorithm for simulink.
Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.
Marcelo Augusto Costa Fernandes
DCA - CT - UFRN
mfernandes@dca.ufrn.br

The following Matlab project contains the source code and Matlab examples used for biogeography based optimizer (bbo) for training multi layer perceptron (mlp).
Biogeography-Based Optimizer (BBO) is employed as a trainer for Multi-Layer Perceptron (MLP).

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
.

The following source code and r examples are used for Multi-layer perceptron neural network with partial monotonicity constraints.