Описание: The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA.
Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.
Автор: Filipe de Carvalho Moutinho; Lu?s Filipe Santos Go Название: Distributed Embedded Controller Development with Petri Nets ISBN: 3319208217 ISBN-13(EAN): 9783319208213 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction.- Related work.- Development of distributed embedded controllers.- Application Example.- Conclusions and future work.
Автор: O`dwyer, Aidan Название: Handbook of pi and pid controller tuning rules ISBN: 1848162421 ISBN-13(EAN): 9781848162426 Издательство: World Scientific Publishing Рейтинг: Цена: 31680.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The vast majority of automatic controllers used to compensate industrial processes are PI or PID type. This book covers the tuning rules for these controllers proposed from 1935 to 2008. It discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers.
Автор: Konstantinos G. Papadopoulos Название: PID Controller Tuning Using the Magnitude Optimum Criterion ISBN: 3319072625 ISBN-13(EAN): 9783319072623 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An instructive reference that will help control researchers and engineers, interested in a variety of industrial processes, to take advantage of a powerful tuning method for the ever-popular PID control paradigm.This monograph presents explicit PID tuning rules for linear control loops regardless of process complexity.
Название: Algorithm & soc design for automotive vision systems ISBN: 9401790744 ISBN-13(EAN): 9789401790741 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithm & SoC design for automotive vision systems
Автор: Robert Istepanian; James F. Whidborne Название: Digital Controller Implementation and Fragility ISBN: 144711082X ISBN-13(EAN): 9781447110828 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by leading researchers, this book collects a number of articles considering the problems of finite-precision computing in digital controllers and filters. Topics range from analysis of fragility and finite-precision effects to the design of low-complexity digital controllers.
In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.
The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method.
The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ?=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods.
The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.
Автор: Donald Davendra; Ivan Zelinka Название: Self-Organizing Migrating Algorithm ISBN: 3319281593 ISBN-13(EAN): 9783319281599 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
