{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":44,"n_cols":5,"rows_kept":44,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[12,2,12,3],[13,2,13,3],[15,2,15,3],[15,4,15,5],[16,2,16,3],[16,4,16,5],[17,2,17,3],[17,4,17,5],[18,2,18,3],[19,2,19,3],[20,2,20,3],[21,2,21,3],[22,2,22,3],[23,2,23,3],[25,2,25,3],[38,2,38,3],[39,2,39,3],[41,2,41,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910481036403321"]
[null,null,"Autore",null,"Blok Sherry"]
[null,null,"Titolo",null,"The 6 principles for exemplary teaching of English learners : English for academic and specific purposes / / Sherry Blok, Georgios Kormpas, Robyn Brinks Lockwood"]
[null,null,"Pubbl/distr/stampa",null,"Alexandria, Virginia : , : TESOL Press, , [2019]"]
[{"$nulls":4},"Â©2019"]
[null,null,"ISBN",null,"1-945351-69-1"]
[null,null,"Descrizione fisica",null,"1 online resource (147 pages)"]
[null,null,"Disciplina",null,"428.0071"]
[null,null,"Soggetti",null,"English language - Study and teaching - Foreign speakers"]
[{"$nulls":4},"Second language acquisition - Study and teaching"]
[{"$nulls":4},"Academic language - Study and teaching"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","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."]