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[null,"1.","Record Nr.",null,"UNINA9911034857903321"]
[null,null,"Autore",null,"Stipanović Dusan"]
[null,null,"Titolo",null,"Difference Equations and Machine Learning / / by Dušan Stipanović"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-032-00910-3"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (187 pages)"]
[null,null,"Collana",null,"Synthesis Lectures on Mathematics & Statistics, , 1938-1751"]
[null,null,"Disciplina",null,"515.625"]
[{"$nulls":4},"515.75"]
[null,null,"Soggetti",null,"Difference equations"]
[{"$nulls":4},"Functional equations"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Mathematical analysis"]
[{"$nulls":4},"Neural networks (Computer science)"]
[{"$nulls":4},"Mathematics"]
[{"$nulls":4},"Difference and Functional Equations"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Analysis"]
[{"$nulls":4},"Mathematical Models of Cognitive Processes and Neural Networks"]
[{"$nulls":4},"Applications of Mathematics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Linear Difference Equations -- Nonlinear Difference Equations -- Stability and Chaotic Behaviors of Difference Equations -- Control of Difference Equations -- Applications to Neural Networks and Machine Learning -- Conclusions."]
[null,null,null,"Sommario/riassunto","This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-time dynamical systems modeled as difference equations. These analyses and their outcomes are closely related to models of very well-known neural networks such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks, which are widely used in machine learning and artificial intelligence (AI) applications. The "]
[{"$nulls":4},"author also discusses difference equations and their relevance to neural networks, machine learning, and AI. In addition, this book: Includes characterizations of difference equations and technical prospectives of discrete-time systems Provides new insights into the dynamical behaviors of some of the most popular neural networks used in machine learning Discusses novel technical analyses of discrete-time dynamical systems modeled as difference equations."]