Constructive Neural Networks, Leonardo Franco; Jos? M. Jerez
Автор: Leonardo Franco; Jos? M. Jerez Название: Constructive Neural Networks ISBN: 3642261086 ISBN-13(EAN): 9783642261084 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constructive neural networks and other incremental learning algorithms are discussed in this volume as alternatives to methods for assessing adequate architectures. A valuable overview of the field is presented, in addition to useful applications.
Автор: Villa Название: Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 3319447777 ISBN-13(EAN): 9783319447773 Издательство: Springer Рейтинг: Цена: 68950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.
Автор: Villa Название: Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 3319447807 ISBN-13(EAN): 9783319447803 Издательство: Springer Рейтинг: Цена: 68950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.
Автор: Jayne Название: Engineering Applications of Neural Networks ISBN: 3319441876 ISBN-13(EAN): 9783319441870 Издательство: Springer Рейтинг: Цена: 63350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.
Автор: Schwenker Название: Artificial Neural Networks in Pattern Recognition ISBN: 3319461818 ISBN-13(EAN): 9783319461816 Издательство: Springer Рейтинг: Цена: 54040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.
Автор: da Silva Название: Artificial Neural Networks ISBN: 3319431617 ISBN-13(EAN): 9783319431611 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios.
Автор: Iatan Название: Issues in the Use of Neural Networks in Information Retrieval ISBN: 3319438700 ISBN-13(EAN): 9783319438702 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality.
It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules.
Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.
Автор: Xiangyu Kong; Changhua Hu; Zhansheng Duan Название: Principal and Minor Component Analysis Neural Networks to Principal Component Analysis Networks and Algorithms ISBN: 981102913X ISBN-13(EAN): 9789811029134 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc.
Автор: Patricia Melin Название: Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition ISBN: 3642270271 ISBN-13(EAN): 9783642270277 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic theory, use of type-2 fuzzy models, optimization of type-2 fuzzy systems and modular neural networks and more.
Автор: Johann M.Ph. Schumann; Yan Liu Название: Applications of Neural Networks in High Assurance Systems ISBN: 3642106897 ISBN-13(EAN): 9783642106897 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.
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