DownloadAlfa version - work in progress.
Perseptron network structure.
Can be saved in xml format.
Training strategies:
- Gradient Descent (Batch, Stochastic)
- Genetic Breeding
Training algorithms:
- BPROP (back propagation)
- QPROP (quick propagation)
- RPROP (resilient propagation)
- GENE (genetic neural)
Demo:
https://sijinn.herokuapp.com/
http://sijinn.appspot.com/network
GitHub: https://github.com/surban1974/sijinn
Maven
<repositories>
<repository>
<id>neohort-mvn-repo</id>
<url>https://github.com/surban1974/sijinn/raw/mvn-repo/</url>
<snapshots>
<enabled>true</enabled>
<updatePolicy>always</updatePolicy>
</snapshots>
</repository>
</repositories>
<dependency>
<groupId>com.github.surban1974.sijinn</groupId>
<artifactId>sijinn-base</artifactId>
<version>1.1.2-alfa</version>
</dependency>
Features
Project Samples
