Neural Nets Wirn Vietri — 93

Proceedings of Sixth Italian Workshop

Sixth Italian Workshop

, Vietri sul Mare, Salerno

, 12 – 14 March 1993

https://doi.org/10.1142/2298 | June 1994

Pages: 420

Edited by:
E R Caianiello (University of Salerno, Italy)

View Full Book

Tools

Purchase Save for later

ISBN: 978-981-4551-69-4 (ebook) USD 46.00 Add to cart

The proceedings of this workshop include invited lectures by Professors Stan Gielen and Lotfi Zadeh. The workshop was the last to be organised by the late Professor Eduardo R. Cainello, known worldwide for his fundamental contributions to cybernetics and theoretical physics, and to whom this volume is dedicated.

Contents:

Invited Lectures:
- Learning in Artificial Neural Networks (T M Heskes, B Kappen & S Gielen)
- Fuzzy Logic and the Calculus of Fuzzy If-Then Rules (L A Zadeh)
Reviews:
- Cellular Neural Networks: A Review (V Cimagalli & M Balsi)
Other subjects covered: Formal models and pattern recognition, architectures and algorithms, hardware and software design, fuzzy neural systems, hybrid and robotic systems, applications

Readership: Physicists, cyberneticists and graduate students in physics.

No Access

Neural Nets Wirn Vietri — 93: Proceedings of Sixth Italian Workshop

E. R. Caianiello

Pages:1–420

https://doi.org/10.1142/9789814534604

Preview Abstract

The Table of Contents for the book is as follows:

FOREWORD
Scientific committee; Referees; Sponsors
Section 1: INVITED LECTURES
- Learning in artificial neural networks
- Fuzzy Logic and the Calculus of Fuzzy If-Then Rules
Section 2: REVIEWS
- CELLULAR NEURAL NETWORKS: A REVIEW
- Recurrent Neural Networks for Adaptive Temporal Processing
- PROGRESS IN NEUROANATOMICAL TECHNIQUES
Section 3: FORMAL MODELS AND PATTERN RECOGNITION
- Particle recognition on experimental data in a Silicon Calorimeter by Back-Propagation with stochastic pre-processing
- LEARNING OPTIMAL CONTROL USING NEURAL NETWORKS
- SARLA: a Supervised Adaptive Resonance Learning Algorithm: Principles and Applications
- Experiments in Memory-Based Learning
- On Self-Organizing Neural Character Recognizers
- COMPUTATIONAL ANATOMY IN LOW-LEVEL VISUAL PROCESSING
- MODELS OF CORTICAL MAPS
Section 4: ARCHITECTURES AND ALGORITHMS
- A Neural Algorithm for the Maximum Satisfiability Problem
- Improved Classification Accuracy by Training Multiple Models and Taking a Vote
- A DYNAMICAL NEURAL NETWORK WITH INTERNAL DYNAMICAL LOOPS
- Robust Learning by means of Single Neurons
- LEARNING IN FEED-FORWARD NEURAL NETWORKS BASED ON A MIN-MAX OPTIMISATION METHOD
- LS-BACKPROPAGATION ALGORITHM FOR TRAINING MULTILAYER PERCEPTRONS
- A comparison between a SCAWI Backpropagation and an improved Cascade Correlation
- A FAST PARALLEL IMPLEMENTATION OF THE BACK-PROPAGATION ALGORITHM
- ENHANCEMENT OF SELF-ORGANISING FEATURE MAPS BY LINEAR PRE-PROCESSING
- A Neural Architecture for Failure-Based Learning
- On the Size of Weights for McCulloch-Pitts Neurons
Section 5: HARDWARE AND SOFTWARE DESIGN
- THE BACK-PROPAGATION LEARNING ALGORITHM ON PARALLEL COMPUTERS: A MAPPING SCHEME
- A New Fully Digital Feed-Forward Neural Network for Hand-Written Digits Recognition
- CONNET: a neural network configuration language
- SIMULATION OF NEURAL NETWORKS IN A DISTRIBUTED COMPUTING ENVIRONMENT USING NEUROGRAPH
Section 6: FUZZY NEURAL SYSTEMS
- A FUZZY NEURAL APPROACH TO FAULT DIAGNOSIS
- FNC: a Fuzzy Neural Classifier with Bayesian Engine
- INTEGRATION OF FUZZY REASONING TECHNIQUES IN THE ERROR BACK-PROPAGATION LEARNING ALGORITHM
Section 7: HYBRID AND ROBOTIC SYSTEMS
- A Connectionist Approach to a Knowledge Based Planning System
- Neural Solutions to the Development of a Robot for Orange Picking
- A SHAPE FROM SHADING HYBRID APPROACH TO ESTIMATE SUPERQUADRIC PARAMETERS
- A Hybrid System for Handprinted Character Recognition
- A REINFORCEMENT SUPERVISED NAVIGATION NEURAL NET
- SELF-ORGANIZING NAVIGATION: A HYBRID FRAMEWORK FOR ROBOT MOTION PLANNING
- Modular Neural Codes Implementing Neural Trees
Section 8: APPLICATIONS
- A COMPARATIVE STUDY OF MACHINE AND NEURAL NETWORKS LEARNING ALGORITHMS
- DIACONEA: On-line diagnosis for a complex operating environment: a neural approach
- Exploiting Neural Network Features to Model and Analyze Noise Pollution
- CLASSIFICATION OF PLASMA EQUILIBRIA IN A TOKAMAK USING A THREE-LAYER BACK PROPAGATION NETWORK
- SBP: A Hybrid Neural Model for Pattern Recognition
- MODEL IDENTIFICATION OF NON-LINEAR DYNAMICAL SYSTEMS BY RECURRENT NEURAL NETWORKS
- A back-propagation neural network for the study of prediction in management systems
- A SELF-ORGANIZING APPROACH FOR DIAGNOSTIC PROBLEMS
- NEURAL-NET BASED LOAD-FLOW MODELS FOR ELECTRIC POWER SYSTEMS