04105nam 22006375 450 991029994760332120200702221815.03-319-75049-610.1007/978-3-319-75049-1(CKB)4100000002485481(MiAaPQ)EBC5347190(DE-He213)978-3-319-75049-1(PPN)224639323(EXLCZ)99410000000248548120180224d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Adaptive Systems Using Auto Contractive Maps Theory, Applications and Extensions /by Paolo Massimo Buscema, Giulia Massini, Marco Breda, Weldon A. Lodwick, Francis Newman, Masoud Asadi-Zeydabadi1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (184 pages)Studies in Systems, Decision and Control,2198-4182 ;1313-319-75048-8 An Introduction -- Artificial Neural Networks -- Auto-Contractive Maps -- Visualization of Auto-CM Output -- Dataset Transformations and Auto-CM -- Comparison of Auto-CM to Various Other Data Understanding Approaches.This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorithm, while also identifying an important connection between supervised and unsupervised artificial neural networks. The book’s primary focus is on the auto contractive map, an unsupervised artificial neural network employing a fixed point method versus traditional energy minimization. This is a powerful tool for understanding, associating and transforming data, as demonstrated in the numerous examples presented here. A supervised version of the auto contracting map is also introduced as an outstanding method for recognizing digits and 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.Studies in Systems, Decision and Control,2198-4182 ;131Computational intelligenceData miningArtificial intelligenceMathematical logicComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Logic and Foundationshttps://scigraph.springernature.com/ontologies/product-market-codes/M24005Computational intelligence.Data mining.Artificial intelligence.Mathematical logic.Computational Intelligence.Data Mining and Knowledge Discovery.Artificial Intelligence.Mathematical Logic and Foundations.004Buscema Paolo Massimoauthttp://id.loc.gov/vocabulary/relators/aut721441Massini Giuliaauthttp://id.loc.gov/vocabulary/relators/autBreda Marcoauthttp://id.loc.gov/vocabulary/relators/autLodwick Weldon Aauthttp://id.loc.gov/vocabulary/relators/autNewman Francisauthttp://id.loc.gov/vocabulary/relators/autAsadi-Zeydabadi Masoudauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299947603321Artificial Adaptive Systems Using Auto Contractive Maps2521979UNINA