The SImple implementation of the Neural Network for Java

Features:

1. Mutation
2. Crossing
3. Education by back propagation method
4. Unlimited Network depth
5. Unlimited Network width
6. Individual width of the each Layer of the Network

Usage

To use module you need just to add it as dependency to pom.xml of your project

     <repositories>
         <repository>
             <id>com.owldevs.nn4j</id>
             <url>https://raw.github.com/Fastto/NeuralNetwork4J/mvn-repo/</url>
         </repository>
     </repositories>
 
     <dependencies>
         <dependency>
             <groupId>com.owldevs</groupId>
             <artifactId>com.owldevs.nn4j</artifactId>
             <version>1.0-SNAPSHOT</version>
         </dependency>
     </dependencies>

Example projects

Simulation of evolution

https://github.com/Fastto/SimulationOfEvolution.

It implements genetic algorithm with crossing and mutation.

Separation the surface by color zones based on several points

IN PROGRESS

The implementation uses propagation method of education