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Neural Nets WIRN VIETRI-96

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Table of Contents

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    Book Overview
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    Chapter 1 A Class of Cost Functions for Independence
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    Chapter 2 Virtual Reality and Neural Networks
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    Chapter 3 Recent Results In On-line Prediction and Boosting
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    Chapter 4 Input/Output HMMs: A Recurrent Bayesian Network View
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    Chapter 5 Neural Nonlinear Controllers and Observers: Stability Results
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    Chapter 6 Neural Network Fuzzification: a Critical Review of the Fuzzy Learning Vector Quantization Model
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    Chapter 7 Cultural Evolution in a Population of Neural Networks
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    Chapter 8 A New Incremental Learning Technique
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    Chapter 9 Solving algebraic and geometrical problems using neural networks
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    Chapter 10 A Bayesian Framework for Associative Memories
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    Chapter 11 Proof of the Universal Approximation of a Set of Fuzzy functions
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    Chapter 12 The Computational Neural Map and its Capacity
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    Chapter 13 Classification of Structures by Recurrent Neural Networks
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    Chapter 14 Neuro-Fuzzy Processing of Remote Sensed Data
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    Chapter 15 The use of neural networks for the automatic detection and classification of weak photometric sub-components in early-type galaxies
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    Chapter 16 A Generalized Regularization Network for Remote Sensing Data Classification
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    Chapter 17 A Hybrid Neural Network Architecture for Dynamic Scene Understanding
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    Chapter 18 Proposal of a Darwin-Neural Network for a Robot Implementation
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    Chapter 19 A Novel Hypothesis on Cortical Map: Topological Continuity
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    Chapter 20 A Mlp-Based Digit And Uppercase Characters Recognition System
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    Chapter 21 Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?
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    Chapter 22 Computational Intelligence in Electromagnetics
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    Chapter 23 M.A.I.A. Unsupervisioned Neural Network in the Compression and Decompression of Images
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    Chapter 24 Fast Spline Neural Networks for Image Compression
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    Chapter 25 Age estimates of stellar systems by Artificial Neural Networks
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    Chapter 26 Neural Nets for Hybrid On-Line Plant Control
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    Chapter 27 Using Fuzzy Logic to Solve Optimization Problems by Hopfield Neural Model
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    Chapter 28 FIR NNs and Time Series Prediction: Applications to Stock Market Forecasting
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    Chapter 29 Simulation of Traffic Flows in Transportation Nets with Unsupervisioned MAIA Neural Net 1
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    Chapter 30 Towards Fog Forecasting in Meteorology by Means of Back-Propagation Neural Networks with Weighted Least-Squares Training
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    Chapter 31 Spectral Mapping: a Comparison of Connectionist Approaches
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    Chapter 32 A Reconfigurable Analog VLSI Neural Network Architecture with Non Linear Synapses
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    Chapter 33 Off-Chip Training of Analog Hardware Feed-Forward Neural Networks through Hyper-Floating Resilient Propagation
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    Chapter 34 A Learning Strategy which Increases Partial Fault Tolerance of Neural Nets
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    Chapter 35 An Integrated Neural and Algorithmic System for Optical Flow Computation
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    Chapter 36 FIR NNs and Temporal BP: Implementation on the Meiko CS-2
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    Chapter 37 Some Comments and Experimental Results on Bayesian Regularization
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    Chapter 38 Constructive Fuzzy Neural Networks
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    Chapter 39 An Adaptable Boolean Neural Net Trainable to Comment on its own Innerworkings
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    Chapter 40 Fast Training of Recurrent Neural Networks by the Recursive Least Squares Method
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Title
Neural Nets WIRN VIETRI-96
Published by
Springer London, December 2012
DOI 10.1007/978-1-4471-0951-8
ISBNs
978-1-4471-1240-2, 978-1-4471-0951-8
Editors

Marinaro, Maria, Tagliaferri, Roberto

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