Описание: This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance.
In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.
Автор: Ernst Kussul; Tatiana Baidyk; Donald C. Wunsch Название: Neural Networks and Micromechanics ISBN: 3642426115 ISBN-13(EAN): 9783642426117 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text covers a field of research involving the use of neural network techniques for image recognition to tasks in the area of micromechanics. It includes theoretical analysis, details of machine tool prototypes, and results from various experiments.
Автор: Bozena Kostek Название: Soft Computing in Acoustics ISBN: 366213005X ISBN-13(EAN): 9783662130056 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Zhigang Zeng; Yangmin Li; Irwin King Название: Advances in Neural Networks – ISNN 2014 ISBN: 3319124358 ISBN-13(EAN): 9783319124353 Издательство: Springer Рейтинг: Цена: 11180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows.
Автор: Maciej Krawczak Название: Multilayer Neural Networks ISBN: 3319033905 ISBN-13(EAN): 9783319033907 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows that a multilayer neural network can be considered as a multistage system, and that the learning of this class of neural networks can be treated as a special sort of the optimal control problem.
Автор: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Название: Supervised Learning with Complex-valued Neural Networks ISBN: 3642426794 ISBN-13(EAN): 9783642426797 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A new generation of neural networks is needed in telecommunications, medical imaging and signal processing as signals become more complex and nonlinear. This survey of the latest complex-valued networks includes learning algorithms and new architectures.
Автор: Vladimir M. Krasnopolsky Название: The Application of Neural Networks in the Earth System Sciences ISBN: 9401784655 ISBN-13(EAN): 9789401784658 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a unified approach to complex practical problems in Earth Sciences, showing how neural networks are well suited for applications in satellite remote sensing, meteorology, hydrology, oceanography, weather prediction and climate studies.
Автор: Xiaolin Hu; Yousheng Xia; Yunong Zhang; Dongbin Zh Название: Advances in Neural Networks – ISNN 2015 ISBN: 3319253921 ISBN-13(EAN): 9783319253923 Издательство: Springer Рейтинг: Цена: 10062.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015.
Автор: Petia Koprinkova-Hristova; Valeri Mladenov; Nikola Название: Artificial Neural Networks ISBN: 3319349503 ISBN-13(EAN): 9783319349503 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.
Автор: Igor Aizenberg Название: Complex-Valued Neural Networks with Multi-Valued Neurons ISBN: 3662506319 ISBN-13(EAN): 9783662506318 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Complex-valued neural networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book on the multi-valued neuron (MVN) and MVN-based neural networks covers MVN theory, learning, and applications.
Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.
Автор: Filippo Maria Bianchi; Enrico Maiorino; Michael C. Название: Recurrent Neural Networks for Short-Term Load Forecasting ISBN: 3319703374 ISBN-13(EAN): 9783319703374 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
