Ebook: Neural Nets WIRN VIETRI-97: Proceedings of the 9th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 22–24 May 1997

This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.

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This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Content:
Front Matter....Pages I-IX
Front Matter....Pages 1-1
Latent Variables, Topographic Mappings and Data Visualization....Pages 3-32
Front Matter....Pages 33-33
Fuzzy Neural Networks for Pattern Recognition....Pages 35-83
A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks....Pages 84-97
Front Matter....Pages 99-99
Employment of a Progressive Learning Neural Network for Identification and Control....Pages 101-111
Front Matter....Pages 113-113
What Size Needs Testing?....Pages 115-123
Entropy Based Comparison of Neural Networks for Classification....Pages 124-132
A Hebbian model for Space Representation....Pages 133-138
Sequences of Discrete Hopfield’s Networks for the Maximum Clique Problem....Pages 139-146
Rates of Approximation of Multivariable Functions by One-hidden-layer Neural Networks....Pages 147-152
Energy Functional and Fixed Points of a Neural Network....Pages 153-161
A Distribution-Free VC-Dimension-Based Performance Bound....Pages 162-168
Attractor Neural Networks as Models of Semantic Memory....Pages 169-174
Front Matter....Pages 175-175
Image Reconstruction Using A Hierarchical RBF Network Architecture....Pages 177-182
Word Recognition by MLP-based Character Spotting and Dynamic Programming....Pages 183-188
Video Data Compression Using Multilayer Perceptrons....Pages 189-194
Speeding Up Neural Network Execution: An Application To Speech Recognition....Pages 195-200
Periodicity Analysis of Unevenly Spaced Data by Means of Neural Networks....Pages 201-212
Computational Maps for Articulatory Speech Synthesis....Pages 213-218
A Neural Solution for a Mobile Robot Navigation into Unknown Indoor Environments Using Visual Landmarks....Pages 219-224
Front Matter....Pages 225-225
An Application of the Bootstrap 632+ Rule to Ecological Data....Pages 227-232
Front Matter....Pages 225-225
Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?....Pages 233-238
MAIA Neural Network: An Application to the Railway Anti-Skating System....Pages 239-244
On the Cognitive Behaviour of a Multi-Layer Perceptron in Forecasting Meteorological Visibility....Pages 245-251
Classifying Magnetic Resonance Spectra of Brain Neoplasms Using Fuzzy and Robust Gold Standard Adjustments....Pages 252-256
Self-organization with a large medical database: Using GTM for prediction and clustering....Pages 257-262
Icarus Platform....Pages 263-268
Front Matter....Pages 269-269
Plastic Tabu Search for Training Multilayer Perceptrons....Pages 271-276
Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation....Pages 277-284
EM Algorithm: A Neural Network View....Pages 285-292
HW/SW Co-Design of a Complete Pre-Processing/Recognition System Based on Sgs-Thomson OCR Analog Chip....Pages 293-298
Interval Arithmetic Perceptron with pruning capability....Pages 299-304
Hidden Recursive Models....Pages 305-311
Geometrical Constructive Algorithms of Binary Neural Networks....Pages 312-317
On the Adaptable Boolean Neural Net Paradigm....Pages 318-323
Cluster Connections: A visualization technique to reveal cluster boundaries in self-organizing maps....Pages 324-329
Discriminative Least Squares Learning for Fast Adaptive Neural Equalization....Pages 330-335
Back Matter....Pages 337-338

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This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Content:
Front Matter....Pages I-IX
Front Matter....Pages 1-1
Latent Variables, Topographic Mappings and Data Visualization....Pages 3-32
Front Matter....Pages 33-33
Fuzzy Neural Networks for Pattern Recognition....Pages 35-83
A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks....Pages 84-97
Front Matter....Pages 99-99
Employment of a Progressive Learning Neural Network for Identification and Control....Pages 101-111
Front Matter....Pages 113-113
What Size Needs Testing?....Pages 115-123
Entropy Based Comparison of Neural Networks for Classification....Pages 124-132
A Hebbian model for Space Representation....Pages 133-138
Sequences of Discrete Hopfield’s Networks for the Maximum Clique Problem....Pages 139-146
Rates of Approximation of Multivariable Functions by One-hidden-layer Neural Networks....Pages 147-152
Energy Functional and Fixed Points of a Neural Network....Pages 153-161
A Distribution-Free VC-Dimension-Based Performance Bound....Pages 162-168
Attractor Neural Networks as Models of Semantic Memory....Pages 169-174
Front Matter....Pages 175-175
Image Reconstruction Using A Hierarchical RBF Network Architecture....Pages 177-182
Word Recognition by MLP-based Character Spotting and Dynamic Programming....Pages 183-188
Video Data Compression Using Multilayer Perceptrons....Pages 189-194
Speeding Up Neural Network Execution: An Application To Speech Recognition....Pages 195-200
Periodicity Analysis of Unevenly Spaced Data by Means of Neural Networks....Pages 201-212
Computational Maps for Articulatory Speech Synthesis....Pages 213-218
A Neural Solution for a Mobile Robot Navigation into Unknown Indoor Environments Using Visual Landmarks....Pages 219-224
Front Matter....Pages 225-225
An Application of the Bootstrap 632+ Rule to Ecological Data....Pages 227-232
Front Matter....Pages 225-225
Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?....Pages 233-238
MAIA Neural Network: An Application to the Railway Anti-Skating System....Pages 239-244
On the Cognitive Behaviour of a Multi-Layer Perceptron in Forecasting Meteorological Visibility....Pages 245-251
Classifying Magnetic Resonance Spectra of Brain Neoplasms Using Fuzzy and Robust Gold Standard Adjustments....Pages 252-256
Self-organization with a large medical database: Using GTM for prediction and clustering....Pages 257-262
Icarus Platform....Pages 263-268
Front Matter....Pages 269-269
Plastic Tabu Search for Training Multilayer Perceptrons....Pages 271-276
Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation....Pages 277-284
EM Algorithm: A Neural Network View....Pages 285-292
HW/SW Co-Design of a Complete Pre-Processing/Recognition System Based on Sgs-Thomson OCR Analog Chip....Pages 293-298
Interval Arithmetic Perceptron with pruning capability....Pages 299-304
Hidden Recursive Models....Pages 305-311
Geometrical Constructive Algorithms of Binary Neural Networks....Pages 312-317
On the Adaptable Boolean Neural Net Paradigm....Pages 318-323
Cluster Connections: A visualization technique to reveal cluster boundaries in self-organizing maps....Pages 324-329
Discriminative Least Squares Learning for Fast Adaptive Neural Equalization....Pages 330-335
Back Matter....Pages 337-338
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