Neural Nets: 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, Vietri sul Mare, Italy, May 30-June 1, 2002. Revised Papers

Neural Nets: 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, Vietri sul Mare, Italy, May 30-June 1, 2002. Revised Papers

Paperback(2002)

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Product Details

ISBN-13: 9783540442653
Publisher: Springer Berlin Heidelberg
Publication date: 11/11/2002
Series: Lecture Notes in Computer Science , #2486
Edition description: 2002
Pages: 252
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Review Papers.- Ensembles of Learning Machines.- Eduardo R. Caianiello Lecture.- Learning Preference Relations from Data.- Francesco E. Lauria Lecture.- Increasing the Biological Inspiration of Neural Networks.- Architectures and Algorithms.- Hybrid Automatic Trading Systems: Technical Analysis & Group Method of Data Handling.- Interval TOPSIS for Multicriteria Decision Making.- A Distributed Algorithm for Max Independent Set Problem Based on Hopfield Networks.- Extended Random Neural Networks.- Generalized Independent Component Analysis as Density Estimation.- Spline Recurrent Neural Networks for Quad-Tree Video Coding.- MLP Neural Network Implementation on a SIMD Architecture.- Image and Signal Processing.- A New Approach to Detection of Muscle Activation by Independent Component Analysis and Wavelet Transform.- Learning to Balance Upright Posture: What can be Learnt Using Adaptive NN Models?.- Detection of Facial Features.- A Two Stage Neural Architecture for Segmentation and Superquadrics Recovery from Range Data.- Automatic Discrimination of Earthquakes and False Events in Seismological Recording for Volcanic Monitoring.- A Comparison of Signal Compression Methods by Sparse Solution of Linear Systems.- Fuzzy Time Series for Forecasting Pollutants Concentration in the Air.- Real-Time Perceptual Coding of Wideband Speech by Competitive Neural Networks.- Sound Synthesis by Flexible Activation Function Recurrent Neural Networks.- Special Session on “Learning in Neural Networks: Limitations and Future Trends” Chaired by Marco Gori.- Mathematical Modelling of Generalization.- Structural Complexity and Neural Networks.- Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space.- A Short Review of Statistical Learning Theory.- Increasing the Biological Inspiration of Neural Networks.

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