Neural Nets WIRN VIETRI-96

Neural Nets WIRN VIETRI-96
Author :
Publisher : Springer Science & Business Media
Total Pages : 344
Release :
ISBN-10 : 9781447109518
ISBN-13 : 1447109511
Rating : 4/5 (18 Downloads)

Book Synopsis Neural Nets WIRN VIETRI-96 by : Maria Marinaro

Download or read book Neural Nets WIRN VIETRI-96 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers from WIRN VIETRI-96, the 8th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 23-25 May 1996. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluable contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-96 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.

Neural Nets WIRN VIETRI-97

Neural Nets WIRN VIETRI-97
Author :
Publisher : Springer Science & Business Media
Total Pages : 338
Release :
ISBN-10 : 9781447115205
ISBN-13 : 1447115201
Rating : 4/5 (05 Downloads)

Book Synopsis Neural Nets WIRN VIETRI-97 by : Maria Marinaro

Download or read book Neural Nets WIRN VIETRI-97 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.

Neural Nets WIRN VIETRI-98

Neural Nets WIRN VIETRI-98
Author :
Publisher : Springer Science & Business Media
Total Pages : 389
Release :
ISBN-10 : 9781447108115
ISBN-13 : 1447108116
Rating : 4/5 (15 Downloads)

Book Synopsis Neural Nets WIRN VIETRI-98 by : Maria Marinaro

Download or read book Neural Nets WIRN VIETRI-98 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.

Combining Artificial Neural Nets

Combining Artificial Neural Nets
Author :
Publisher : Springer Science & Business Media
Total Pages : 300
Release :
ISBN-10 : 9781447107934
ISBN-13 : 1447107934
Rating : 4/5 (34 Downloads)

Book Synopsis Combining Artificial Neural Nets by : Amanda J.C. Sharkey

Download or read book Combining Artificial Neural Nets written by Amanda J.C. Sharkey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems. The techniques are also accompanied by an evaluation of their relative effectiveness and their application to a variety of problems.

Neural Networks for Conditional Probability Estimation

Neural Networks for Conditional Probability Estimation
Author :
Publisher : Springer Science & Business Media
Total Pages : 280
Release :
ISBN-10 : 9781447108474
ISBN-13 : 1447108477
Rating : 4/5 (74 Downloads)

Book Synopsis Neural Networks for Conditional Probability Estimation by : Dirk Husmeier

Download or read book Neural Networks for Conditional Probability Estimation written by Dirk Husmeier and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard objective is to predict the future value of some entity of interest on the basis of a time series of past measurements or observations. Typical training schemes aim to minimise the sum of squared deviations between predicted and actual values (the 'targets'), by which, ideally, the network learns the conditional mean of the target given the input. If the underlying conditional distribution is Gaus sian or at least unimodal, this may be a satisfactory approach. However, for a multimodal distribution, the conditional mean does not capture the relevant features of the system, and the prediction performance will, in general, be very poor. This calls for a more powerful and sophisticated model, which can learn the whole conditional probability distribution. Chapter 1 demonstrates that even for a deterministic system and 'be nign' Gaussian observational noise, the conditional distribution of a future observation, conditional on a set of past observations, can become strongly skewed and multimodal. In Chapter 2, a general neural network structure for modelling conditional probability densities is derived, and it is shown that a universal approximator for this extended task requires at least two hidden layers. A training scheme is developed from a maximum likelihood approach in Chapter 3, and the performance ofthis method is demonstrated on three stochastic time series in chapters 4 and 5.

Neural Nets WIRN Vietri-99

Neural Nets WIRN Vietri-99
Author :
Publisher : Springer Science & Business Media
Total Pages : 429
Release :
ISBN-10 : 9781447108771
ISBN-13 : 1447108779
Rating : 4/5 (71 Downloads)

Book Synopsis Neural Nets WIRN Vietri-99 by : Maria Marinaro

Download or read book Neural Nets WIRN Vietri-99 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains a selection of papers from WIRN Vietri-99, the 11th Italian Workshop on Neural Nets. This annual event, sponsored, amongst others, by the IEEE Neural Networks Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of topics within neural networks, including pattern recognition, signal and image processing, mathematical models, neuro-fuzzy models and economics applications.

Concepts for Neural Networks

Concepts for Neural Networks
Author :
Publisher : Springer Science & Business Media
Total Pages : 316
Release :
ISBN-10 : 9781447134275
ISBN-13 : 1447134273
Rating : 4/5 (75 Downloads)

Book Synopsis Concepts for Neural Networks by : Lawrence J. Landau

Download or read book Concepts for Neural Networks written by Lawrence J. Landau and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concepts for Neural Networks - A Survey provides a wide-ranging survey of concepts relating to the study of neural networks. It includes chapters explaining the basics of both artificial neural networks and the mathematics of neural networks, as well as chapters covering the more philosophical background to the topic and consciousness. There is also significant emphasis on the practical use of the techniques described in the area of robotics. Containing contributions from some of the world's leading specialists in their fields (including Dr. Ton Coolen and Professor Igor Aleksander), this volume will provide the reader with a good, general introduction to the basic concepts needed to understan d and use neural network technology.