Titlebook: Artificial Adaptive Systems Using Auto Contractive Maps; Theory, Applications Paolo Massimo Buscema,Giulia Massini,Masoud Asadi- Book 2018

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Artificial Neural Networks,ong data. The advantage of imposing an architecture rather than a data model, is that it allows for the model to adapt. Fundamentally, a neural network is represented by its architecture. Thus, we look at the architecture first followed by a brief introduction of the two types of approaches for impl

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2198-4182 d defects. In closing, the book walks the readers through the theory and examples of how the auto contracting map can be used in conjunction with another artificial neural network, the “spin-net,” as a dynamic form of auto-associative memory..978-3-030-09135-4978-3-319-75049-1Series ISSN 2198-4182 Series E-ISSN 2198-4190

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Artificial Adaptive Systems Using Auto Contractive MapsTheory, Applications

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History and Evolution of TSM PsychodramaAuto-Contractive Maps (Auto-CM) is a newer approach to artificial adaptive systems (AASs). In turn, AASs encompass the subject of artificial neural networks (ANNs). This chapter is an introduction to AASs.

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Claude M. H. Demers,André PotvinWe look at how to use Auto-CM in the context of datasets that are changing in time. We modify our approach while keeping the original philosophy of Auto-CM.

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An Introduction,Auto-Contractive Maps (Auto-CM) is a newer approach to artificial adaptive systems (AASs). In turn, AASs encompass the subject of artificial neural networks (ANNs). This chapter is an introduction to AASs.