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Author:   M. Marinaro ,  Roberto Taguaferri ,  Roberto Tagliaferri (Universita di Salerno, Italy)
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   Edition. ed.
Weight:   0.830kg
ISBN:  

9781852331771

ISBN 10:   1852331771
Pages:   440
Publication Date:   30 September 1999
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

The N-SOBoS model; a neural network approach to detect functional MRI signal; dynamics of online learning in radial basis function neural networks; interval arithmetic multilayer perceptron as possibility-necessity pattern classifier; building neural and logical networks with Hamming clustering; inferring understandable rules through digital synthesis; YANNS - yet another neural network simulator; a multilayer perceptron for fast interpolation of JPEG/MPEG coded images; a general assembly as implementation of a Hebbian rule in a Boolean neural network; continual prediction using LSTM with forget gates; online learning with adaptive local step sizes; the search for spiculated lesions in the CALMA project - status and perspectives; polynomial clustering exhibit statistical estimation abilities; an experimental comparison of three PCA neural techniques; weightless neural networks for face recognition; a feed-forward neural network for robust segmentation of colour images; gesture recognition using hybrid SOM/DHMM; parameter identification using aspects - application to the human cardiovascular system; development of selectivity maps in a BCM network using various connectivity schemes; a neural network based urban environment monitoring system exploiting previous knowledge; a novel wavelet filtering method in SAR image classification by neural networks; real time neural network disruption prediction in Tokamak reactors; an automatic classification of mammographic images textures using neural networks; the automatic detection of microcalcification clusters in the CALMA projec - status and perspectives; an analogue on-chip learning architecture based on weight perturbation algorithm and on current mode translinear circuits; recursive networks - an overview of theoretical results; a combination of tools - NLS and NN estimation of the consumers expenditure in durable goods determinants, trend and forecasting for the motor vehicles sector; local wavelet decomposition and its application to face reconstruction; harmony theory and binding problem; scale based clustering optimization via gravitational law imitation; signal classification by subspace neural networks; function approximation from noisy data by an incremental RBF network; online quality control of DC permanent magnet motor using neural networks; neural network for economic forecasting; fuzzy local algorithms for time series analysis and forecasting; a fuzzy definition of industrial district; estimating the conditional mean of nonlinear time series using neural networks; a neural network based ARX model of Virgo noise; neural networks for spectral analysis of unevenly sampled data (part contents).

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