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Neural networks in CUDA & OpenCL with back propagation algorithm
This project is my engineering diploma. It's aim is to compare the efficiency of both technologies and to check where which hacks works better. What is more one of my tasks is to compare different ways of decomposing computations in parallel.
Developed as a final year project at Islamic University of Technology (IUT) during 2010 - 2011 academic year. This code is a simple implementation of real coded geneticalgorithm for numerical optimization. Code is written in C/C++.
This project aims to create an application to solve the job shop schedule problem using geneticalgorithm on the IBM Cell BE processor. This is useful especially using the power of Cell for the large scale job shop schedule problem.
The goal of the Rats and Mazes project is to build a simple geneticalgorithm to find general solutions to random non-cyclic single path mazes. I believe that the solutions will tend towards either the right/left-hand rule.
Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform.
Geographic restrictions, eligibility, and terms apply.
This is a very simple implementation of the geneticalgorithm framework presented by John Holland, based on Goldberg book Genetic Algorithms in Search, Optimization and Machine Learning.