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Published in:
Introduction: Applications & Motivations Read chapter Read first chapter

2013 | OriginalPaper | Chapter

10. DXNN: A Case Study

Author : Gene I. Sher

Published in: Handbook of Neuroevolution Through Erlang

Publisher: Springer New York

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Abstract

This chapter presents a case study of a memetic algorithm based TWEANN system that I developed in Erlang, called DXNN. Here we will discuss how DXNN functions, how it is implemented, and the various details and implementation choices I made while building it, and why. We also discuss the various features that it has, the features which we will eventually need to add to the system we’re building together. Our system has a much cleaner and decoupled implementation, and which by the time we’ve reached the last chapter will supersede DXNN in every way.

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previous chapter Testing the Neuroevolutionary System
next chapter Decoupling & Modularizing Our Neuroevolutionary Platform
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Metadata
Title
DXNN: A Case Study
Author
Gene I. Sher
Copyright Year
2013
Publisher
Springer New York
Book
Handbook of Neuroevolution Through Erlang

Print ISBN: 978-1-4614-4462-6

Electronic ISBN: 978-1-4614-4463-3

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4614-4463-3_10

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