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Intelligent soft computations, Springer 2014 : Book Chapters for: Complex system modelling and control through intelligent soft computations, Springer | |||||||||||||||||
Link: http://www.springer.com/series/2941 | |||||||||||||||||
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Call For Papers | |||||||||||||||||
Call for Book Chapters
================================================================ Book Chapters for: Complex system modelling and control through intelligent soft computations ================================================================ Proposal Submission Deadline: December 15, 2013 1-2 pages including abstract, chapter objectives and chapter outlines ================================================================ Submission deadline: March 30, 2014 ================================================================ Published by: Studies in Fuzziness and Soft Computing, Springer-Verlag, Germany ================================================================ Book Editors Quanmin Zhu Professor, Department of Engineering Design and Mathematics, University of the West of England, Bristol, United Kingdom Email: Quan.Zhu@uwe.ac.uk Ahmad Taher Azar, PhD, IEEE Member Faculty of Computers and Information, Benha University, Egypt Email: ahmad.azar@fci.bu.edu.eg; ahmad_t_azar@ieee.org ================================================================ DESCRIPTION: Soft computing based inductive approaches concern with the use of theories of fuzzy logic, neural networks, and evolutionary computing to solve real-world problems that cannot be satisfactorily solved using conventional crisp computing techniques. Representation and processing of human knowledge, qualitative and approximate reasoning, computational intelligence, computing with words, and biological models of problem solving and optimization form key characteristics of soft computing, and are directly related to intelligent systems and applications. In recent years there has been rapid growth in the development and implementation of soft computing techniques in a wide range of applications, particularly those related to natural and man-made science and engineering systems. ================================================================ OBJECTIVE OF THE BOOK This book is intended to present important applications of soft computing as reported from both analytical and practical points of view. In its chapters, the book gives a prime introduction to soft computing with its principal components of fuzzy logic, neural networks, genetic algorithms, and genetic programming with a self-contained, simple, readable approach. The book also includes a few of representative papers to cover industrial and development effort in the applications of intelligent systems through soft computing, which is given to guide the interested readers on their ad hoc applications. Advanced topics and future challenges are addressed as well, with the researchers in the field in mind. The introductory material, application- oriented techniques, and case studies should be particularly useful to practicing professionals. In brief summary, this book provides a general foundation for soft computing based inductive methodologies/algorithms as well as their applications, in terms of providing multidisciplinary solutions in complex system modelling and control. ================================================================ TOPICS Suggested topics include (but are not limited to) the following: • Evolutionary computation • Neural networks • Probabilistic and evidential reasoning • Artificial intelligence and expert systems • Hybrid intelligent systems • Model Calibration and Validation • Data-driven Modelling and Control • Modelling of Physiological and Biomedical Systems • System Identification • Nonlinear Control Systems • Optimization Techniques • Intelligent Systems & Soft Computing Techniques • Robotics • Mechatronic Systems Fault Diagnosis and Fault Tolerance • Networked Control Systems • cooperative Control Systems • Iterative Learning Control • Predictive Control • Process Modeling and Process Control • Discrete Event and Hybrid Systems • Adaptive Control • PID Controllers • Control in Education • Modeling and control of Renewable Energy Systems • Modeling and Control of Smart Grids and Distributed Generation Systems • Modeling, Stabilization and Control of Power Systems • Load Modeling and Forecasting • System Reliability, Security and Adequacy • Power Quality • Power System Economics, Pricing ================================================================ CHAPTER SUBMISSION AND AUTHOR INFORMATION: Submitted manuscripts should conform to the standard guidelines of the Springer's book chapter format. Manuscripts must be prepared using Latex or Word and according to the Springer's svmlt template that can be downloaded from the (link). Manuscripts that do not follow the formatting rules will be ignored. Prospective authors should send their manuscripts electronically to the following email addresses: ahmad_t_azar@ieee.org, and Quan.Zhu@uwe.ac.uk, with the subject title as: “Complex system modelling and control through intelligent soft computations- Book Chapter". Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published in Studies in Fuzziness and Soft Computing, by Springer-Verlag, Germany. ================================================================ IMPORTANT DATES December 15, 2013: Proposal Submission Deadline December 15, 2013: Notification of Acceptance March 30, 2014: Full Chapter Submission May 30, 2014: Review Results Returned June 30, 2014: Final Chapter Submission July 15, 2014: Final Acceptance Notifications ================================================================ Book Editors Quanmin Zhu Professor, Department of Engineering Design and Mathematics, University of the West of England, Bristol, United Kingdom Email: Quan.Zhu@uwe.ac.uk Ahmad Taher Azar, PhD, IEEE Member Faculty of Computers and Information, Benha University, Egypt Email: ahmad.azar@fci.bu.edu.eg; ahmad_t_azar@ieee.org |
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