Neural Nets

Table of Contents

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   Book Overview
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   Chapter 1 Ensembles of Learning Machines
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   Chapter 2 Learning Preference Relations from Data
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   Chapter 3 Increasing the Biological Inspiration of Neural Networks
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   Chapter 4 Hybrid Automatic Trading Systems: Technical Analysis & Group Method of Data Handling
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   Chapter 5 Interval TOPSIS for Multicriteria Decision Making
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   Chapter 6 A Distributed Algorithm for Max Independent Set Problem Based on Hopfield Networks
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   Chapter 7 Extended Random Neural Networks
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   Chapter 8 Generalized Independent Component Analysis as Density Estimation
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    Chapter 9 Spline Recurrent Neural Networks for Quad-Tree Video Coding
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    Chapter 10 MLP Neural Network Implementation on a SIMD Architecture
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    Chapter 11 A New Approach to Detection of Muscle Activation by Independent Component Analysis and Wavelet Transform
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    Chapter 12 Learning to Balance Upright Posture: What can be Learnt Using Adaptive NN Models?
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    Chapter 13 Detection of Facial Features
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    Chapter 14 A Two Stage Neural Architecture for Segmentation and Superquadrics Recovery from Range Data
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    Chapter 15 Automatic Discrimination of Earthquakes and False Events in Seismological Recording for Volcanic Monitoring
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    Chapter 16 A Comparison of Signal Compression Methods by Sparse Solution of Linear Systems
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    Chapter 17 Fuzzy Time Series for Forecasting Pollutants Concentration in the Air
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    Chapter 18 Real-Time Perceptual Coding of Wideband Speech by Competitive Neural Networks
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    Chapter 19 Sound Synthesis by Flexible Activation Function Recurrent Neural Networks
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    Chapter 20 Mathematical Modelling of Generalization
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    Chapter 21 Structural Complexity and Neural Networks
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    Chapter 22 Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space
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    Chapter 23 A Short Review of Statistical Learning Theory
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    Chapter 24 Increasing the Biological Inspiration of Neural Networks