Neural Network Toolbox manual

Evolution Experimentation Module Complete
Fig. 3.6.3-8. Overview of a feed-forward back-propagation neural network

With the Genetic Mutation Engine completed, I wanted to put it to actual use.  While it’s fun to put complex SynthNet networks through the mutation process and watch the really cool looking results, manually doing it doesn’t really serve much of a purpose.  However, now that the Evolution Experimentation Module is complete, the real power of the mutation engine is unlocked.

Artificial Selection in Action

The Evolution module allows us to take an initial, manually created SynthNet network (as simple or complex as desired), test how effective it is in a task, and then either allow it to reproduce and continue on its genetic line, or prevent reproduction in the case of decreased task effectiveness.  It performs this across multiple “breeds”, or equally effective genomes, until a novel mutation shows improved performance, which is considered a new “species”.  This, in effect, emulates multiple genetic lines competing at a user-defined task, and artificial selection based on that task dictating the path of evolution of the SynthNet network.

Specifics of the module are as follows:

  1. Automatically and repeatedly mutates SynthNet DNA, grows its corresponding network, tests it, and records/compares the results


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