Neuroevolutionary optimization

Computer Science – Neural and Evolutionary Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

International Journal of Computer Science Issues online at http://ijcsi.org/articles/Neuroevolutionary-optimization.php

Scientific paper

This paper presents an application of evolutionary search procedures to artificial neural networks. Here, we can distinguish among three kinds of evolution in artificial neural networks, i.e. the evolution of connection weights, of architectures, and of learning rules. We review each kind of evolution in detail and analyse critical issues related to different evolutions. This article concentrates on finding the suitable way of using evolutionary algorithms for optimizing the artificial neural network parameters.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Neuroevolutionary optimization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Neuroevolutionary optimization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neuroevolutionary optimization will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-325610

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.