Abstract
In this chapter we discuss how a single artificial neuron processes signals, and how to simulate it. We then develop a single artificial neuron and test its functionality. Having discussed and developed a single neuron, we decide on the NN architecture we will implement, and then develop a genotype constructor, and a mapper from genotype to phenotype. Finally, we then ensure that that our simple NN system works by using a simple sensor and actuator attached to the NN to test its sense-think-act ability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Sher, G.I. (2013). Developing a Feed Forward Neural Network. In: Handbook of Neuroevolution Through Erlang. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4463-3_6
Download citation
DOI: https://doi.org/10.1007/978-1-4614-4463-3_6
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4462-6
Online ISBN: 978-1-4614-4463-3
eBook Packages: Computer ScienceComputer Science (R0)