Neural Nets WIRN VIETRI-98 Proceedings of the 10th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 21–23 May 1998 / edited by Maria Marinaro, Roberto Tagliaferri.

From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 2...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Marinaro, Maria (Editor), Tagliaferri, Roberto (Editor)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 1999.
Edition:1st ed. 1999.
Series:Perspectives in Neural Computing,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

MARC

LEADER 00000nam a22000005i 4500
001 b3230620
003 MWH
005 20191022172228.0
007 cr nn 008mamaa
008 121227s1999 xxk| s |||| 0|eng d
020 |a 9781447108115 
024 7 |a 10.1007/978-1-4471-0811-5  |2 doi 
035 |a (DE-He213)978-1-4471-0811-5 
050 4 |a E-Book 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
245 1 0 |a Neural Nets WIRN VIETRI-98  |h [electronic resource] :  |b Proceedings of the 10th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 21–23 May 1998 /  |c edited by Maria Marinaro, Roberto Tagliaferri. 
250 |a 1st ed. 1999. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 1999. 
300 |a X, 390 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Perspectives in Neural Computing,  |x 1431-6854 
490 1 |a Springer eBook Collection 
505 0 |a Section 1 — Marco Protasi Lectures -- In Memory of Marco Protasi -- Computational Suspiciousness of Learning in Artificial Neural Nets -- Section 2 — Invited Papers -- Software Foundation Libraries for Intelligent Systems -- Theoretical Approaches to On-Line Learning in Smooth Multilayer Nets -- Section 3 — Review Paper -- Combining Neural Networks Hidden Markov Models for Speech Recognition -- Section 4 — Eduardo R. Caianiello Lecture -- Cellular Neural Networks: An Approach to Circuit Design Information Processing -- Section 5 — Mathematical Models -- Correlation Collapse Under Persistent Input Derangement in the Nervous System. Fitting pRAM Models for Thalamo-Cortical Circuits -- A New Incremental Strategy for Function Approximation by Radial Basis Function Neural Networks -- Soft-Competitive Versus EM Learning in Cortical Map Modeling -- Spatio-Temporal Cortical Activity Patterns in Cognitive Tasks Using fMRI -- Support Vector Machine for Nonparametric Binary Hypothesis Testing -- Learning the Amplitude of Activation Functions in Layered Networks -- The BRAIN Learning Algorithm -- Training Data Selection for Optimal Generalization with Noise Variance Reduction in Neural Networks -- Section 6 — Pattern Recognition and Signal Processing -- Astronomical Object Recognition by Means of Neural Networks -- Learning to Balance a Pole on a Movable Cart Through RL: What Can Be Gained Using Adaptive NN? -- Mean-Field Neural Networks for Antenna Array Diagnostics -- Intitial Letter Spotting as a Complementary Feature for Lexical Filtering of Cursive Words -- Visual Person Localization with Dynamic Neural Fields: Towards a Gesture Recognition System -- Phoneme Classification Using a Rasta-PLP Preprocessing Algorithm and a Time Delay Neural Network: Performance Studies -- A Neural System for Remote Sensing Multispectral Image Classification -- Invariance of WNNs Performance for Pattern Recognition Testing Translated Image Input Spaces -- The CALMA Project: Computer Assisted Library for MAmmography -- Exploitation of Fuzzy Information for Tokamak Plasma Shape Recognition -- New Results in Image Compression Through M.A.I.A. Neural Networks -- The Effect of Public Sector on the Financial Sector: An NN Approach in a View of Complexity -- A Hybrid Framework for Indoor Robot Navigation -- Section 7 — Architectures and Algorithms -- Training Feedforward Neural Networks: Convergence Robustness Analysis -- Solving the Travelling Salesman Problem Using the Kohonen Network Incorporating Explicit Statistics -- Boosting Learning Algorithms for the Colorimetric Characterization of Color Printers -- Handwritten Character Recognition with an Analog Feature Extraction Module -- A High Performances and High Versatility Reconfigurable System for Fast Prototyping of Digital Neural Network Based on FPGA -- A L-Based Energy Function for SE Prediction -- Robust Processing of Visual Evoked Potentials -- Convergence Properties of the Circular Cascade Correlation Algorithm -- Neural Learning and Weight Flow on Stiefel Manifold -- From Behavior to VHDL: A CAD Environment for SPNNs -- Incremental Min-Max Network. Part 2: Continuous and Discrete Spaces -- An Adaptable Boolean Neural Net Obtained by Connecting Seven Node Assemblies -- A Comparative Evaluation of Constructive Sequential Methods -- A Unified Approach to Sequential Constructive Methods -- SOMLib: A Distributed Digital Library System Based on Self-Organizing Maps -- Incremental Min-Max Network. Part 1: Continuous Spaces -- Tangent Models: Comparing the TD-Neuron Constructive Algorithm Versus SVD Based Algorithms -- A Neural Multi-Agent Architecture for an Autonomous Mobile Robot Control -- Author Index. 
520 |a From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series. 
590 |a Loaded electronically. 
590 |a Electronic access restricted to members of the Holy Cross Community. 
650 0 |a Artificial intelligence. 
650 0 |a Pattern recognition. 
650 0 |a Computational complexity. 
690 |a Electronic resources (E-books) 
700 1 |a Marinaro, Maria.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Tagliaferri, Roberto.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
830 0 |a Perspectives in Neural Computing,  |x 1431-6854 
830 0 |a Springer eBook Collection. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-1-4471-0811-5  |3 Click to view e-book  |t 0 
907 |a .b32306209  |b 04-18-22  |c 02-26-20 
998 |a he  |b 02-26-20  |c m  |d @   |e -  |f eng  |g xxk  |h 0  |i 1 
912 |a ZDB-2-SCS 
912 |a ZDB-2-BAE 
950 |a Computer Science (Springer-11645) 
902 |a springer purchased ebooks 
903 |a SEB-COLL 
945 |f  - -   |g 1  |h 0  |j  - -   |k  - -   |l he   |o -  |p $0.00  |q -  |r -  |s b   |t 38  |u 0  |v 0  |w 0  |x 0  |y .i21437853  |z 02-26-20 
999 f f |i 2042c9e6-bfad-51f3-ba20-6ca04e8c4a20  |s c66ffd31-c9fd-59c3-8662-b97d986f22bb  |t 0 
952 f f |p Online  |a College of the Holy Cross  |b Main Campus  |c E-Resources  |d Online  |t 0  |e E-Book  |h Library of Congress classification  |i Elec File