Recent Advances of Hybrid Intelligent Systems Based on Soft Computing, Melin Patricia, Castillo Oscar, Kacprzyk Janusz
Автор: Melin Patricia, Castillo Oscar, Kacprzyk Janusz Название: Recent Advances of Hybrid Intelligent Systems Based on Soft Computing ISBN: 3030587274 ISBN-13(EAN): 9783030587277 Издательство: Springer Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems.
Описание: The book focuses on the state-of-the-art technologies pertaining to advances in soft computing, intelligent system and applications. Soft computing represents a collection of computational techniques inheriting inspiration from evolutionary algorithms, nature inspired algorithms, bio-inspired algorithms, neural networks and fuzzy logic.
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.
Автор: Oscar Castillo; Patricia Melin; Janusz Kacprzyk Название: Recent Advances on Hybrid Intelligent Systems ISBN: 3642438598 ISBN-13(EAN): 9783642438592 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern and time series recognition, and optimization of complex problems. Covers applications in natural language processing and more.
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.
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.
Описание: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms.
Автор: Valentina Emilia Balas; J?nos Fodor; Annam?ria R. Название: Soft Computing Based Modeling in Intelligent Systems ISBN: 364210147X ISBN-13(EAN): 9783642101472 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fuzzy systems, neural networks and evolutionary computation, considered as related to AI, combine flexibility and robustness, and are now widely used to build intelligent systems. This book covers soft computing implementations of intelligent systems models.
Описание: People use science every single day in their jobs! From a smoothie maker creating a vortex to blend fruit and vegetables to firefighters extinguishing a blaze by breaking the fire triangle, the jobs and occupations at the heart of this super-creative non-fiction read will inspire all children to seek out the everyday science in the world around us.
Автор: Sharma Harish, Govindan Kannan, Poonia Ramesh C. Название: Advances in Computing and Intelligent Systems: Proceedings of Icacm 2019 ISBN: 9811502218 ISBN-13(EAN): 9789811502217 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Intuitionistic Fuzzy Shannon Entropy Weight Based Multi Criteria Decision Model with TOPSIS to Analyse Security Risks and Select Online Transaction Method.- Chapter 2. Fermat Spiral Based Moth-Flame Optimization Algorithm for Object-Oriented Testing.- Chapter 3. A Comparative Study of Information Retrieval Using Machine Learning.- Chapter 4. Adaptive Background Subtraction Using Manual Approach for Static Images.- Chapter 5. Tweets Daily: Categorised News from Twitter.- Chapter 6. Compressing Meta Class Files through String Optimization.- Chapter 7. An Algorithm to Generate Largest Prime Number.- Chapter 8. Development of a Discretization Methodology for 2.5D Milling Toolpath optimization Using Genetic Algorithm.- Chapter 9. Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi.- Chapter 10. A Comparative Study of Load Balancing Algorithms in a Cloud Environment.- Chapter 11. Information Retrieval from Search Engine Using Particle Swarm Optimization.- Chapter 12. Genetic Algorithm Based Multi Objective Optimization Framework to Solve Travelling Salesman Problem.- Chapter 13. Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization.- Chapter 14. Innovative Review on Artificial Bee Colony Algorithm and it's Variants.- Chapter 15. Multi Linear Regression Model to Predict Correlation between IT Graduate Attributes for Employability using R.
Описание: Chapter 1. Intuitionistic Fuzzy Shannon Entropy Weight Based Multi Criteria Decision Model with TOPSIS to Analyse Security Risks and Select Online Transaction Method.- Chapter 2. Fermat Spiral Based Moth-Flame Optimization Algorithm for Object-Oriented Testing.- Chapter 3. A Comparative Study of Information Retrieval Using Machine Learning.- Chapter 4. Adaptive Background Subtraction Using Manual Approach for Static Images.- Chapter 5. Tweets Daily: Categorised News from Twitter.- Chapter 6. Compressing Meta Class Files through String Optimization.- Chapter 7. An Algorithm to Generate Largest Prime Number.- Chapter 8. Development of a Discretization Methodology for 2.5D Milling Toolpath optimization Using Genetic Algorithm.- Chapter 9. Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi.- Chapter 10. A Comparative Study of Load Balancing Algorithms in a Cloud Environment.- Chapter 11. Information Retrieval from Search Engine Using Particle Swarm Optimization.- Chapter 12. Genetic Algorithm Based Multi Objective Optimization Framework to Solve Travelling Salesman Problem.- Chapter 13. Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization.- Chapter 14. Innovative Review on Artificial Bee Colony Algorithm and it's Variants.- Chapter 15. Multi Linear Regression Model to Predict Correlation between IT Graduate Attributes for Employability using R.
Описание: The book is a collection of high-quality research papers presented at 7th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Communication University of Zhejiang, China and technically co-sponsored by Shandong University of Science and Technology, China; Zhejiang Lab, China; and Fujian University of Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.
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