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Perspectives in Neural Computing Ser.: Neural Nets WIRN VIETRI-97: Procedimento-
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Specifiche dell'oggetto
- Condizione
- ISBN
- 9781447115229
- Subject Area
- Computers
- Publication Name
- Neural Nets WIRN VIETRI-97 : Proceedings of the 9th Italian Workshop on Neural Nets, Vietri Sul Mare, Salerno, Italy, 22-24 May 1997
- Publisher
- Springer London, The Limited
- Item Length
- 9.3 in
- Subject
- Intelligence (Ai) & Semantics, Neural Networks, Computer Vision & Pattern Recognition
- Publication Year
- 2011
- Series
- Perspectives in Neural Computing Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.3 in
- Item Weight
- 18.8 Oz
- Item Width
- 6.1 in
- Number of Pages
- IX, 338 Pages
Informazioni su questo prodotto
Product Identifiers
Publisher
Springer London, The Limited
ISBN-10
1447115228
ISBN-13
9781447115229
eBay Product ID (ePID)
143826182
Product Key Features
Number of Pages
IX, 338 Pages
Language
English
Publication Name
Neural Nets WIRN VIETRI-97 : Proceedings of the 9th Italian Workshop on Neural Nets, Vietri Sul Mare, Salerno, Italy, 22-24 May 1997
Subject
Intelligence (Ai) & Semantics, Neural Networks, Computer Vision & Pattern Recognition
Publication Year
2011
Type
Textbook
Subject Area
Computers
Series
Perspectives in Neural Computing Ser.
Format
Trade Paperback
Dimensions
Item Height
0.3 in
Item Weight
18.8 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Section 1 - Invited Paper.- Latent Variables, Topographic Mappings and Data Visualization.- Section 2 - Review Papers.- Fuzzy Neural Networks for Pattern Recognition.- A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks.- Section 3 - Eduardo R. Caianiello Lecture.- Employment of a Progressive Learning Neural Network for Identification and Control.- Section 4 - Mathematical Models.- What Size Needs Testing?.- Entropy Based Comparison of Neural Networks for Classification.- A Hebbian Model for Space Representation.- Sequences of Discrete Hopfield's Networks for the Maximum Clique Problem.- Rates of Approximation of Multivariable Functions by One-Hidden-Layer Neural Networks.- Energy Functional and Fixed Points of a Neural Network.- A Distribution-Free VC-Dimension-Based Performance Bound.- Attractor Neural Networks as Models of Semantic Memory.- Section 5 - Pattern Recognition and Robotics.- Image Reconstruction Using a Hierarchical RBF Network Architecture.- Word Recognition by MLP-Based Character Spotting and Dynamic Programming.- Video Data Compression Using Multilayer Perceptrons.- Speeding Up Neural Network Execution: An Application to Speech Recognition.- Periodicity Analysis of Unevenly Spaced Data by Means of Neural Networks.- Computational Maps for Articulatory Speech Synthesis.- A Neural Solution for a Mobile Robot Navigation into Unknown Indoor Environments Using Visual Landmarks.- Section 6 - Applications.- An Application of the Bootstrap 632+ Rule to Ecological Data.- Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?.- MAIA Neural Network: An Application to the Railway Anti-Skating System.- On the Cognitive Behaviour of a Multi-Layer Perceptron in Forecasting Meteorological Visibility.-Classifying Magnetic Resonance Spectra of Brain Neoplasms Using Fuzzy and Robust Gold Standard Adjustments.- Self-Organization with a Large Medical Databases Using GTM for Prediction and Clustering.- Icarus Platform: Software Integration of Several Intelligent Systems.- Section 7 - Architectures and Algorithms.- Plastic Tabu Search for Training Multilayer Perceptrons.- Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation.- EM Algorithm: A Neural Network View.- HW/SW Co-Design of a Complete Pre-Processing/Recognition System Based on Sgs-Thomson OCR Analog Chip.- Interval Arithmetic Perceptron with Pruning Capability.- Hidden Recursive Models.- Geometrical Constructive Algorithms of Binary Neural Networks.- On the Adaptable Boolean Neural Net Paradigm.- Cluster Connections: A Visualization Technique to Reveal Cluster Boundaries in Self-Organizing Maps.- Discriminative Least Squares Learning for Fast Adaptive Neural Equalization.- Author Index.
Synopsis
This volume contains the Proceedings of the 9th Italian Workshop on Neural Nets WIRN VIETRI-97, organised by the International Institute for Advanced Scientific Studies ((Eduardo R. Caianiello" (IIASS), the Societa Italiana Reti Neuroniche (SIREN) and the IEEE NNC Italian RIG. As in the previous editions some invited and reviewed talks on updated subjects are presented in addition to the original contributions selected by the Refereeing Committee. Also included is Professor C.M. Bishop's Invited paper on: - Latent Variables, Topographic Mappings and Data Visualization; and two review talks that deal with updated topics: - Fuzzy Neural Networks for Pattern Recognition; - A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks; For publication the original contributions have been assembled into 4 sections: Applications, Architectures and Algorithms, Mathematical Models, Pattern Recognition and Robotics. The Editors thank the invited speaker and all the participants for having contributed to the success of the Workshop by submitting high quality manuscripts, and also express gratitude to the Refereeing Committee for the high quality of the selection process. Maria Marinaro Roberto Tagliaferri VI Organizing -Scientific Committee: B. Apolloni (Univ. Milano), A. Bertoni (Univ. Milano), D.O. Caviglia (Univ. Genova), P. Campadelli (Univ. Milano), A. Colla (ELSAG BAILEY -Genova), M. Frixione (1IASS), C. Furlanello (IRST -Trento), A. Esposito (1IASS), G.M. Guazzo (1IASS), M. Gori (Univ. Firenze), F. Lauria (Univ. Napoli), M. Marinaro (Univ. Salerno - IIASS), F., This volume contains the Proceedings of the 9th Italian Workshop on Neural Nets WIRN VIETRI-97, organised by the International Institute for Advanced Scientific Studies ((Eduardo R. Caianiello" (IIASS), the Societa Italiana Reti Neuroniche (SIREN) and the IEEE NNC Italian RIG. As in the previous editions some invited and reviewed talks on updated subjects are presented in addition to the original contributions selected by the Refereeing Committee. Also included is Professor C.M. Bishop's Invited paper on: * Latent Variables, Topographic Mappings and Data Visualization; and two review talks that deal with updated topics: * Fuzzy Neural Networks for Pattern Recognition; * A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks; For publication the original contributions have been assembled into 4 sections: Applications, Architectures and Algorithms, Mathematical Models, Pattern Recognition and Robotics. The Editors thank the invited speaker and all the participants for having contributed to the success of the Workshop by submitting high quality manuscripts, and also express gratitude to the Refereeing Committee for the high quality of the selection process. Maria Marinaro Roberto Tagliaferri VI Organizing -Scientific Committee: B. Apolloni (Univ. Milano), A. Bertoni (Univ. Milano), D.O. Caviglia (Univ. Genova), P. Campadelli (Univ. Milano), A. Colla (ELSAG BAILEY -Genova), M. Frixione (1IASS), C. Furlanello (IRST -Trento), A. Esposito (1IASS), G.M. Guazzo (1IASS), M. Gori (Univ. Firenze), F. Lauria (Univ. Napoli), M. Marinaro (Univ. Salerno - IIASS), F.
LC Classification Number
Q334-342
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