A LEARNING ALGORITHM FOR OPTIMAL REPRESENTATION OF EXPERIMENTAL DATA
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Publication:4314450
DOI10.1142/S0218127494000228zbMath0811.90018OpenAlexW1970009414WikidataQ58626941 ScholiaQ58626941MaRDI QIDQ4314450
Joseph L. Breeden, Norman H. Packard
Publication date: 21 November 1994
Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218127494000228
learning algorithmgenetic algorithmevolutionary programmingoptimal representations of experimental dataoptimal state space representation
Economic time series analysis (91B84) Learning and adaptive systems in artificial intelligence (68T05)
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