# simulation

# Tvt2013 matlab

# Pattern analysis toolbox. in matlab

# Particle Swarm Optimization Matlab Code

Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity.

# Particle swarm optimization simulation in matlab

# 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.

# Simulation for cellular neural networks (cnn) in matlab

# Neural network simulation of non linear mass spring damper in matlab

# Kalman filter simlation with singer model in matlab

# Kalman filter(fixed point version) in matlab

# Introduction to unscented kalman filtering in matlab

# Genetic Algorithm Matlab Code

Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.