Efficient, transparent deep learning in hundreds of lines of code.

Offline Nepali Handwritten Character Recognition Using Artificial Neural Networks

CL643 OPTIMIZATION LP MILP MINLP NLP using MATLAB GAMS IBM CPLEX

Iris flower classification with MLP using MATLAB.

Development of a Voice Activity Detector and a Speaker Recognition System. Feature extraction in time and frequency domain. Classification in ten individual speakers.

A modified version of the Gravitational Search Algorithm (GSA) based on levy flight and chaos theory namely LCGSA has been used to train Multilayer Perceptron (MLP) neural network for feature classification and function approximation.

Apply and evaluate some basic machine learning algorithms on breast cancer prediction.

I have developed a simple speech recognition engine based on words using Multilayer perceptrons with Hypebolic tangent activation function and Backpropagation learning algorithm.

MLP and RBF test with Sin(pi/4 * x) & Sin(x) & Ackley2D

Data Mining subject projects

A MATLAB implementation of Multilayer Neural Network using Backpropagation Algorithm

Implementation of PNN RBF MLP in MATLAB with Aggregation, Flame databases

mlp neural network with 2 hidden layer

k-means, GMM, linear classifier, mlp

Course Assignments

Assignments and neural network simulations related to Computational Intelligence course, taught by S. Hajipour

Implementação da Rede Neural Perceptron Multiplascamadas (PMC, ou MLP do inglês Multilayer Perceptron) proposta no Projeto prático 5.9 do livro "Redes Neurais Arficiais para engenharia e ciências aplicadas" do autor Ivan Nunes da Silva

O projeto se trata de uma implementação simples de Redes Neurais Perceptron e MLP e foi criado no decorrer da disciplina de Inteligência Computacional do curso de Engenharia de Computação da Universidade Federal do Ceará (Campus Sobral).

This repository contains the deep learning projects I completed in my Deep Learning course at the University of Missouri-Kansas City.

Neural Computing Coursework in Matlab