Lingua: Spagnolo
Editore: Juan Pablos Editor, Universidad Nacional Autónoma de México, Mexico, 2018
ISBN 10: 6077114618 ISBN 13: 9786077114611
Prima edizione
Paperback. Condizione: New. First edition. 285p., photos, illus., tables, bibl., wrps. A study on film in early 19th century Mexico, analyzing aspects such as its production, its exhibition, and business practices.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 52,36
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Revaluation Books, Exeter, Regno Unito
EUR 75,92
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 111 pages. 9.26x6.10x0.23 inches. In Stock.
Lingua: Spagnolo
Editore: Editorial Académica Española, 2018
ISBN 10: 6139033098 ISBN 13: 9786139033096
Da: Revaluation Books, Exeter, Regno Unito
EUR 67,78
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 76 pages. Spanish language. 8.66x5.91x0.18 inches. In Stock.
Lingua: Spagnolo
Editore: Editorial Académica Española, 2018
ISBN 10: 6139033098 ISBN 13: 9786139033096
Da: moluna, Greven, Germania
EUR 34,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Buchpark, Trebbin, Germania
EUR 40,98
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic. This book describes a hybrid method with three different techniques of intelligence computation: neural networks, optimization algorithms and fuzzy logic. Within the neural network techniques, competitive neural networks (CNNs) are used, for the optimization algorithms technique, we used the fireworks algorithm (FWA), and in the area of fuzzy logic, the Type-1 Fuzzy Inference Systems (T1FIS) and the Interval Type-2 Fuzzy Inference Systems (IT2FIS) were used, with their variants of Mamdani and Sugeno type, respectively. FWA was adapted for data clustering with the goal to help of competitive neural network to find the optimal number of neurons. It is important to mention that two variants were applied to the FWA: dynamically adjust of parameters with Type-1 Fuzzy Logic (FFWA) as the first one and Interval Type-2 (F2FWA) as the second one. Subsequently, based on the outputs of the CNN and with the goal of classification data, we designed Type-1 and Interval Type-2 Fuzzy Inference Systems of Mamdani and Sugeno type. This book is intended to be a reference for scientists and engineers interested in applying a different metaheuristic or an artificial neural network in order to solve optimization and applied fuzzy logic techniques for solving problems in clustering and classification data. This book is also used as a reference for graduate courses like the following: soft computing, swarm optimization algorithms, clustering data, fuzzy classify and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, new techniques of optimization or to continue the lines of the research proposed by the authors of the book.
Editore: México, Voyeur, 2006
Da: Librería México Histórico, Ciudad de México, DIF, Messico
Prima edizione
EUR 361,67
Quantità: 1 disponibili
Aggiungi al carrelloEncuadernación de tapa blanda. Condizione: Excelente. 1ª Edición. México, Voyeur, 2006-2007, Rústica editorial, Ilustraciones, Perfecto estado de conservación.
Da: Majestic Books, Hounslow, Regno Unito
EUR 74,89
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 112.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 70,59
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 112.
Lingua: Inglese
Editore: Springer Nature Switzerland, 2023
ISBN 10: 3031477111 ISBN 13: 9783031477119
Da: moluna, Greven, Germania
EUR 48,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the fields of artificial neural network, swarm optimization algorithms, and clustering problemsDescribes a hybrid method with three different techniques of Intelligence ComputationCovers recent research on Hybrid Competitive Lear.