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Sinopsis
This study evaluates the state of the art in the area of neural networks from the engineering perspective. The book examines ways of improving the engineering involved in neural network modelling and control, so that the theoretical power of learning systems can be harnessed for practical applications. The book seeks to answer a number of questions, such as which network architecture for which application? Can constructive learning algorithms capture the underlying dynamics while avoiding overfitting? How can we introduce a priori knowledge or models into neural networks? Can experimental design and active learning be used automatically to create "optimal" training sets? And finally, how can we validate a neural network model?
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Reseña del editor
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Within the control community there has been much discussion of and interest in the new Emerging Technologies and Methods. Neural networks along with Fuzzy Logic and Expert Systems is an emerging methodology which has the potential to contribute to the development of intelligent control technologies. This volume of some thirteen chapters edited by Kenneth Hunt, George Irwin and Kevin Warwick makes a useful contribution to the literature of neural network methods and applications. The chapters are arranged systematically progressing from theoretical foundations, through the training aspects of neural nets and concluding with four chapters of applications. The applications include problems as diverse as oven tempera ture control, and energy/load forecasting routines. We hope this interesting but balanced mix of material appeals to a wide range of readers from the theoretician to the industrial applications engineer.
Reseña del editor
This study evaluates the state of the art in the area of neural networks from the engineering perspective. The contributions examine ways of improving the engineering involved in neural network modelling and control, so that the theoretical power of learning systems can be harnessed for practical applications. Neural Network Engineering in Dynamic Control Systems seeks to provide answers to the following questions: * Which network architecture for which application? * Can constructive learning algorithms capture the underlying dynamics while avoiding overfitting? * How can we introduce a priori knowledge or models into neural networks? * Can experimental design and active learning be used automatically to create "optimal" training sets? * How can we validate a neural network model?
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Neural Network Engineering in Dynamic Control Systems
Publicado por
Advances in Industrial Control, Springer-Verlag London Limited, London, 1995
ISBN 10: 354019973X
ISBN 13: 9783540199731
Antiguo o usado
Tapa dura
Librería: Librería Ofisierra, Galapagar, M, España
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Good condition. Ex-library book. Has stickers on front endpaper and spine, name written on title page. Libro. Nº de ref. del artículo: 138340
Cantidad disponible: 1 disponibles
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Neural Network Engineering in Dynamic Control Systems (Advances in Industrial Control)
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 296 | Produktart: Sonstiges. Nº de ref. del artículo: 38500503/2
Cantidad disponible: 2 disponibles
Imagen de archivo
Neural Network Engineering in Dynamic Control Systems (Advances in Industrial Control)
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Gut. Zustand: Gut | Seiten: 296 | Produktart: Sonstiges. Nº de ref. del artículo: 38500503/3
Cantidad disponible: 1 disponibles
Imagen de archivo
Neural Network Engineering in Dynamic Control Systems (Advances in Industrial Control)
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 296 | Produktart: Sonstiges. Nº de ref. del artículo: 38500503/202
Cantidad disponible: 1 disponibles