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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Discover &amp; eXplore Neural Network (DXNN) Platform, a Modular TWEANN · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1008.2412/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1008.2412/feed.xml" rel="self" type="application/rss+xml" /><item><title>Discover &amp; eXplore Neural Network (DXNN) Platform, a Modular TWEANN — mentioned by eggy</title><link>https://news.ycombinator.com/item?id=29329603</link><guid isPermaLink="false">urn:hackerpapers:mention:1008.2412:29329603</guid><pubDate>Wed, 24 Nov 2021 13:07:03 GMT</pubDate><description>&lt;p&gt;They seem to be similar to Gene Sher&amp;#x27;s TWEANNS - Topology and Weight Evolving Neural Networks - that I learned about in his 2012 book, &amp;quot;Handbook of Neuroevolution Through Erlang&amp;quot; (sure, it didn&amp;#x27;t pick up because Erlang ;)) Gene&amp;#x27;s specific implementation is DXNN (Discover and eXplore Neural Network) implemented in 2010 [1] [1] https://arxiv.org/abs/1008.2412&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1008.2412/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
