Feedforward Artificial Neural Network optimized by Genetic Algorithm
Released Apr 21, 2012 by Francis Roy-Desrosiers
This package provides a feedforward Artificial Neural Network (ANN) optimized by Genetic Algorithm (GA). Modifications in the Genetic algorithm from CUDAANN r6 have been made to improve the speed, the convergence and the memory management.
This package can be included as a dependency from a Java or Scala project by including
the following your project's
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>ANN</artifactId> <version>0.1.4-b240</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
If you're using Renjin from the command line, you load this library by invoking:
This package was last tested against Renjin 0.9.2622 on Apr 7, 2018.