Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Hybrid Soft Computing Approaches, Siddhartha Bhattacharyya; Paramartha Dutta; Susant


Варианты приобретения
Цена: 18284.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Susant
Название:  Hybrid Soft Computing Approaches
ISBN: 9788132229780
Издательство: Springer
Классификация:

ISBN-10: 8132229789
Обложка/Формат: Paperback
Страницы: 457
Вес: 0.72 кг.
Дата издания: 23.08.2016
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 24
Основная тема: Engineering
Подзаголовок: Research and Applications
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

Section 1. Hybrid Soft Computing Approaches: Research Chapter 1. A Hybrid CS-GSA Algorithm for Optimization.- Chapter 2. Study of Economic Load Dispatch by Various Hybrid Optimization Techniques.- Chapter 3. Unsolved Problems of Ambient Computationally Intelligent TBM Algorithms.- Chapter 4. Hybridizing Differential Evolution Variants through Heterogeneous Mixing in a Distributed Framework.- Section 2. Hybrid Soft Computing Approaches: Applications Chapter 5. Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Coolers.- Chapter 6. Color Magnetic Resonance Brain Image Segmentation by Para Opti MUSIG Activation Function: An Application.- Chapter 7. Convergence Analysis of Back Propagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases.- Chapter 8. REFII Model as a Base for Data Mining Techniques Hybridization with Purpose of Time Series Pattern Recognition.- Chapter 9. A Soft Computing Approach for Targeted Product Promotion on Social Networks.- Chapter 10. Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis.- Chapter 11. A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms.- Chapter 12. Neuro-Fuzzy Hybridized Model for Seasonal Rainfall Forecasting: A Case Study in Stock Index Forecasting.- Chapter 13. Hybridization of 2D-3D Images for Human Face Recognition.- Chapter 14. Neutrosophic Trust Evaluation Model in B2C E-commerce.- Chapter 15. Immune Based Feature Selection in Rigid Medical Image Registration Using Supervised Neural Network.




Multidisciplinary Approaches to Neural Computing

Автор: Anna Esposito; Marcos Faudez-Zanuy; Francesco Carl
Название: Multidisciplinary Approaches to Neural Computing
ISBN: 3319569031 ISBN-13(EAN): 9783319569031
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Redefining Information Processing Through Neural Computing Models.- A Neural Approach for Hybrid Events Discrimination at Stomboli Volcano.- Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm.- Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent'' and "Symmetry-Aware'' White Matter Fiber-Bundles.- Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach.- Effective Blind Source Separation Based on the Adam Algorithm.- Depth-based Hand Pose Recognizer Using Learning Vector Quantization.- Correlation Dimension-Based Recognition of Simple Juggling Movements.- Cortical Phase Transitions as an Effect of Topology of Neural Network.- Fall Detection by Using an Innovative Floor Acoustic Sensor.- An improved Hilbert-Huang Transform for Non-Linear and Time-Variant Signals.- Privacy-preserving Data Mining for Distributed Medical Scenarios.- Rule Base Reduction Using Conflicting and Reinforcement Measures.- An Application of Internet Traffic Prediction with Deep Neural Network.- Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.- Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment.- A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context.- Advanced Neural Networks Systems for Unbalanced Industrial Datasets.- Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach.- A Neural Network-Based Approach for Steam Turbine Monitoring.- A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System.- SOM-Based Analysis to Relate Non-Uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions.- Vision-Based Mapping and Micro-Localization of Industrial Components in the Fields of Laser Technology.- When Intuitive Decisions Making, Based on Expertise, May Deliver Better Results than a Rational, Deliberate Approach.- Artificial Entities or Moral Agents? How AI is Changing Human Evolution.

Hybrid Soft Computing Approaches

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Susant
Название: Hybrid Soft Computing Approaches
ISBN: 8132225430 ISBN-13(EAN): 9788132225430
Издательство: Springer
Рейтинг:
Цена: 20896.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Hybrid Soft Computing Approaches

Hybrid Soft Computing for Image Segmentation

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Название: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

Hybrid Soft Computing for Multilevel Image and Data Segmentation

Автор: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr
Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation
ISBN: 3319475231 ISBN-13(EAN): 9783319475233
Издательство: Springer
Рейтинг:
Цена: 13275.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132218612 ISBN-13(EAN): 9788132218616
Издательство: Springer
Рейтинг:
Цена: 18284.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132235150 ISBN-13(EAN): 9788132235156
Издательство: Springer
Рейтинг:
Цена: 15672.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Soft Computing for Hybrid Intelligent Systems

Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz
Название: Soft Computing for Hybrid Intelligent Systems
ISBN: 3540708111 ISBN-13(EAN): 9783540708117
Издательство: Springer
Рейтинг:
Цена: 27245.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects and application papers. New methods and applications of hybrid intelligent systems using soft computing techniques are described.

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Автор: Patricia Melin; Oscar Castillo
Название: Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
ISBN: 364206325X ISBN-13(EAN): 9783642063251
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms.

Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz; Ja
Название: Recent Advances on Hybrid Approaches for Designing Intelligent Systems
ISBN: 3319051695 ISBN-13(EAN): 9783319051697
Издательство: Springer
Рейтинг:
Цена: 30039.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems.

Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz; Ja
Название: Recent Advances on Hybrid Approaches for Designing Intelligent Systems
ISBN: 3319382748 ISBN-13(EAN): 9783319382746
Издательство: Springer
Рейтинг:
Цена: 28732.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems.

Granular, Soft and Fuzzy Approaches for Intelligent Systems

Автор: Kacprzyk
Название: Granular, Soft and Fuzzy Approaches for Intelligent Systems
ISBN: 3319403125 ISBN-13(EAN): 9783319403120
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors’ appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия