Neural Nets Wirn Vietri '95 - Proceedings Of The Vii Italian Workshop

Inbunden, Engelska, 1996

AvTAGLIAFEI TAGLIAFERRI M MARINARO,Maria Marinaro,R Tagliaferri

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This volume contains the proceedings of the seventh Italian Workshop on Neural Nets WIRN VIETRI '95, organized by the International Institute for Advanced Scientific Studies "E R Caianiello" (IIASS) and Società Italiana Reti Neuroniche (SIREN).The spectrum of contributors and participants covers the activity of Italian research in the field. The papers of the two invited speakers, M J Jordan ("Sigmoid Belief Networks") and E Oja ("Principal and Independent Component Analysis"), and the two reviews ("Fast Learning Algorithms for Feedforward NN" and "ANN Ensembles: a Bayesian Standpoint") complete the highly qualified contents of the volume.

Produktinformation

Utgivningsdatum1996-01-01
FormatInbunden
SpråkEngelska
Antal sidor332
FörlagWorld Scientific Publishing Co Pte Ltd
ISBN9789810226039

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Systemvetenskap och AI inom Data och IT

Part 1 Invited: mean field theory for sigmoid belief networks, L.K. Saul et al; principal and independent components in neural networks - recent developments, E. Oja et al. Part 2 Reviews: artificial neural network ensembles - a Bayesian standpoint, M. Costa et al; fast learning algorithms for feedforward neural networks, P. Parisi et al. Part 3 Mathematical models: nonlinear finite-memory state estimation - a neural approximation, A. Alessandri et al; analog computations on networks of spiking neurons, W. Maass; can learning process in neural networks be considered as a phase transition?, E. Pessa and M. Pietronilla Penna. Part 4 Architecture and algorithms: using neural networks to reduce schedules in time-critical communication systems, S. Cavalieri and O. Mirabella; hardware implementation of neural systems for visual target tracking, A.M. Colla et al; multiple topology representing networks, V. Sanguineti et al. Part 5 Pattern recognition and signal processing: a fast and robust BCS application to the stereo vision, E. Ardizzone et al; atmospheric pressure wave forecasting through fuzzy systems, F. Masulli et al; neural fuzzy image segmentation by a hierarchical approach, A. Petrosino and M. Marsella. Part 6 Applications: neural-based forecasting of physical measures in a power plant, S. Bruzzo et al; fuzzy neural network for the on-line detection of B.O.D., G. Mappa et al; and other papers.