This project is about genetic evolving neural networks (again). It uses a library I written recently, JSGeneticNeuralNetwork to evolve some ‘robots’ which learn to eat (again and again).
Category: Neural Network
JSGeneticNeuralNetwork.js experiment
This new project is about feed forward neural network with genetic evolving weights. I’ve combined my two libraries, JSGenetic and JSNeuralNetwork, plus a little module I’ve developed about continuous genetic algorithms, and developed a little library which evolves neural networks with a genetic algorithm.
A little example I’ve made to test the library can be found here, it’s pacman learning to eat.
There are also other examples in the JSNeuralNetwork page.
JSNeuralNetwork updates and some more experiments
I’ve updated the JSNeuralNetwork library implementing a small and still simple version of the Hopfield Network, along with some implementations.
Moreover, I implemented a new experiment based on the Kohonen networks, which is about vision, and needs a webcam to work.
As usual everything is here: http://www.nicassio.it/daniele/JSNeuralNetwork/.
JSNeuralNetwork updates
Some new updates to the library, along with new test implementations: a first try of image segmentation using Kohonan networks, and a click prediction experiment using feed forward neural networks. Everything is here.