<div dir="ltr">Dear all,<div><br></div><div>During the last week, I finished the implementation of gene, genome (the critical part) for CNE algorithm. Now I am going to do a PR for the two classes after making sure there is no error. </div><div><br></div><div>Before submitting my code to mlpack repository, I update it frequently on my local forked repository. If you are interested, you can check it at</div><div><a href="https://github.com/BangLiu/mlpack/tree/ne/src/mlpack/methods/ne">https://github.com/BangLiu/mlpack/tree/ne/src/mlpack/methods/ne</a><br></div><div><br></div><div>This week I will focusing on come up with a good abstraction of CNE algorithm and test it with XOR test.</div><div><br></div><div>Best,</div><div>Bang</div></div><div class="gmail_extra"><br><div class="gmail_quote">2016-05-30 17:23 GMT-06:00 bang liu <span dir="ltr"><<a href="mailto:lbldtb@gmail.com" target="_blank">lbldtb@gmail.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear all,<div><br></div><div>I am working on the project "<span style="font-size:14px">Neuroevolution Algorithms Implementation</span>".</div><div><br></div><div>This week, I am working on the implementation of Conventional Neuro-evolution (CNE): weight evolution on topologically fixed neural networks. As the first step, I am implementing classes corresponding to the concepts in NE algorithms, including: gene, genome, population and CNE. Currently, the implementation of gene is finished and tested, and the other classes' implementation are in progress.</div><div><br></div><div>The main reference papers for the implementation of CNE includes:</div><div>[1] "<a href="http://www.ijcai.org/Proceedings/89-1/Papers/122.pdf" target="_blank">Training Feedforward Neural Networks Using Genetic Algorithms</a>"</div><div>[2] "<a href="http://www.cs.bham.ac.uk/~axk/evoNN.pdf" target="_blank">Evolving Artificial Neural Networks</a>"</div><div><br></div><div>I will continue implementing the CNE algorithm in this week and hopefully submit my first PR to mlpack. After finished the implementation of a specific algorithm, I will summarize the implementation by mlpack blog.</div><div><br></div><div>Best,</div><div>Bang</div></div>
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