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Artificial Neural Networks in Pattern Recognition
This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Artificial Neural Networks in Pattern Recognition
This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016. The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.
Proceedings
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Nonlinear Circuits and Systems with Memristors
This book presents a new approach to the study of physical nonlinear circuits and advanced computing architectures with memristor devices. Such a unified approach to memristor theory has never been systematically presented in book form. After giving an introduction on memristor-based nonlinear dynamical circuits (e.g., periodic/chaotic oscillators) and their use as basic computing analogue elements, the authors delve into the nonlinear dynamical properties of circuits and systems with memristors and present the flux-charge analysis, a novel method for analyzing the nonlinear dynamics starting from writing Kirchhoff laws and constitutive relations of memristor circuit elements in the flux-cha...
Artificial Neural Networks in Pattern Recognition
Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Investimenti Immobiliari
Hai mai pensato di cimentarti negli investimenti immobiliari? Vorresti imparare a sfruttare le straordinarie opportunità del mercato immobiliare? Investi–MENTI immobiliari” non è un libro che spiega solo come investire dalla A alla Z nel settore. È un testo che ti guida e ti illumina per portarti ad un grado di consapevolezza che non viene garantito da molti strumenti di formazione presenti in questo settore. Investire nel settore immobiliare è tanto sfidante quanto gratificante. Di fronte alle difficoltà che mettono a repentaglio la riuscita del risultato finale viene spontaneo credere che l’unica reazione sia quella di convivere con i rischi e le incertezze o semplicemente molla...
