Neural Networks and Statistical Learning

DOI10.1007/978-1-4471-7452-3zbMath1437.62001OpenAlexW4288877484MaRDI QIDQ5231407

M. N. S. Swamy, Ke-Lin Du

Publication date: 26 August 2019

Full work available at URL: https://doi.org/10.1007/978-1-4471-7452-3

zbMATH Keywords

computational learning theoryprincipal component analysisconjugate gradient methoddata miningquasi-Newton methodsmachine learningLevenberg-Marquardt methodbig datadictionary learningdeep learningneurofuzzy systemsclustering modelslast mean square algorithmneural network circuitsprobabilistic and Bayesian networks

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Learning and adaptive systems in artificial intelligence (68T05) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05) Neural nets and related approaches to inference from stochastic processes (62M45) Statistical aspects of big data and data science (62R07)

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