OS17-2 Neural Networks by using Self-Reinforcement Reactions

Title:	OS17-2 Neural Networks by using Self-Reinforcement Reactions
Publication:	ICAROB2017
Volume:	22
Pages:	595-598
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2017.OS17-2
Author(s):	Yasuhiro Suzuki
Publication Date:	January 19, 2017
Keywords:	Artificial Chemistries, Chemical Reaction Networks, Perceptron, Linear Classification Problem, Self Reinforcement Reaction, Neural Networks
Abstract:	We consider a chemical reaction network model in which selections of reaction are stochastic and depend on past history. In this chemical reaction network, we found the emergence of Auto-Catalytic Sets (ACS) and complex dynamics in which ACS are repeatedly created and destroyed; we have called this reaction system as the SelfReinforcement Reactions, SRR. We developed a neural-networks system by using SRR and confirm the neural network of SRR can solve a linear classification problem.
PDF File:	https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS17/OS17-2.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/