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参考書 / Neural Networks and Statistical Learning https://t.co/NFONILCklY #springer
Neural Networks and Statistical Learning
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Introduction
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Altmetric BadgeChapter 2 Fundamentals of Machine Learning
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Altmetric BadgeChapter 3 Perceptrons
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Altmetric BadgeChapter 4 Multilayer Perceptrons: Architecture and Error Backpropagation
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Altmetric BadgeChapter 5 Multilayer Perceptrons: Other Learning Techniques
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Altmetric BadgeChapter 6 Hopfield Networks, Simulated Annealing, and Chaotic Neural Networks
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Altmetric BadgeChapter 7 Associative Memory Networks
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Altmetric BadgeChapter 8 Clustering I: Basic Clustering Models and Algorithms
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Altmetric BadgeChapter 9 Clustering II: Topics in Clustering
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Altmetric BadgeChapter 10 Radial Basis Function Networks
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Altmetric BadgeChapter 11 Recurrent Neural Networks
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Altmetric BadgeChapter 12 Principal Component Analysis
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Altmetric BadgeChapter 13 Nonnegative Matrix Factorization
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Altmetric BadgeChapter 14 Independent Component Analysis
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Altmetric BadgeChapter 15 Discriminant Analysis
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Altmetric BadgeChapter 16 Support Vector Machines
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Altmetric BadgeChapter 17 Other Kernel Methods
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Altmetric BadgeChapter 18 Reinforcement Learning
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Altmetric BadgeChapter 19 Probabilistic and Bayesian Networks
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Altmetric BadgeChapter 20 Combining Multiple Learners: Data Fusion and Emsemble Learning
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Altmetric BadgeChapter 21 Introduction to Fuzzy Sets and Logic
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Altmetric BadgeChapter 22 Neurofuzzy Systems
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Altmetric BadgeChapter 23 Neural Circuits and Parallel Implementation
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Altmetric BadgeChapter 24 Pattern Recognition for Biometrics and Bioinformatics
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Altmetric BadgeChapter 25 Data Mining