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E-raamat: Neural Nets WIRN Vietri-01: Proceedings of the 12th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 17-19 May 2001

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Neural Nets WIRN Vietri-01: Proceedings of the 12th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 17-19 May 2001Suurem pilt
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This volume contains the proceedings of the 12th Italian Workshop on Neural Nets WIRN VIETRI-Ol, jointly organized by the International Institute for Advanced Scientific Studies "Eduardo R. Caianiello" (IIASS), the Societa Italiana Reti Neuroniche (SIREN), the IEEE NNC Italian RIG and the Italian SIG of the INNS. Following the tradition of previous years, we invited three foreign scientists to the workshop, Dr. G. Indiveri and Professors A. Roy and R. Sun, who respectively presented the lectures "Computation in Neuromorphic Analog VLSI Systems", "On Connectionism and Rule Extraction", "Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks" (the last two papers being part of the special session mentioned below). In addition, a review talk was presented, dealing with a very up-to-date topic: "NeuroJuzzy Approximator based on Mamdani's Model". A large part of the book contains original contributions approved by referees as oral or poster presentations, which have been assembled for reading convenience into three sections: Architectures and Algorithms, Image and Signal Processing, and Applications. The last part of the books contains the papers of the special Session "From Synapses to Rules". Our thanks go to Prof. B. Apolloni, who organized this section. Furthermore, two sections are dedicated to the memory of two great scientists who were friends in life, Professors Mark Aizerman and Eduardo R. Caianiello. The editors would like to thank the invited speakers, the review lecturers and all the contributors whose highly qualified papers helped with the success of the workshop.

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Section 1 - Invited Paper.- Computation in Neuromorphic Analog VLSI
Systems.- Section 2 - Review Paper.- Neurofuzzy Approximator Based on
Mamdanis Model.- Section 3 - Eduardo R. Caianiello Lecture.- Topics in Blind
Signal Processing by Neural Networks.- Section 4 - Mark Aizerman Lecture.-
Fuzzy Measures and the Choquet Integral for Group Multicriteria Decision
Making.- Section 5 - Architectures and Algorithms.- Solving Min Vertex Cover
with Iterated Hopfield Networks.- Recursive Processing of Directed Acyclic
Graphs.- Detecting Uncertainty Regions for Characterizing Classification
Problems.- Support Vector Machines for Uncertainty Region Detection.- A
Learning Algorithm for Piecewise Linear Regression.- Specific Sequence
Learning by an Adaptable Boolean Neural Network.- Node Relevance
Determination.- Learning Distributed Representations of Relational Data Using
Linear Relational Embedding.- Payoff-Monotonic Game Dynamics for the Maximum
Clique Problem.- Phase Transitions in a Neural Model of Problem Solving.- A
Cortical Architecture for the Binocular Perception of Motion-in-Depth.-
Section 6 - Image and Signal Processing.- A Neural Network-Based Approach to
System Identification for Whitening Interferometer Spectra.- A Neural Cursive
Character Recognizer.- Optimal Parameters in Neural Network Models for Speech
Phoneme Characterization.- Signal Classification Using Neural Networks.-
Applying LSTM to Time Series Predictable Through Time-Window Approaches.-
Standard Error Estimation in Neural Network Regression Models: The AR-Sieve
Bootstrap Approach.- Fuzzy Connections in Realistic Real-Time Facial
Amination.- Section 7 - Applications.- An Acoustic Passive Detector for
Traffic Counts with Neural Networks.- A Fuzzy-G.M.D.H. Approach to V.a.R..-
Self-Organizing Maps forContent-Based Music Clustering.- Development of a
Fuzzy Logic Control for Dialysis Application.- Evaluation of Teaching
Activity Through a Fuzzy System.- A Neural Solution to the Symbol Grounding
Problem.- Hole Identification System in Conducting Plates by Using Wavelet
Networks.- Neuro-Fuzzy Techniques to Estimate and Predict Atmospheric
Pollutant Levels.- Section 8 - Special Session: From Synapses to Rules.- On
Connectionism and Rule Extraction.- Beyond Simple Rule Extraction: Acquiring
Planning Knowledge from Neural Networks.- Twisting Features with Properties.-
Neural Nets and the Puzzle of Intentionality.- Where Thought Lives: Place or
Palace?.- Author Index.
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