Artificial Intelligence for Cognitive Modeling
Chapman & Hall/CRC (Verlag)
978-1-032-10570-3 (ISBN)
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.
Features:
A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)
A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)
Formulation of the nonlinear model like analysis of ANOVA and response surface methodology
Variety of solved problems on ANOVA and RSM
Case studies of above mentioned intelligent techniques on the different process control systems
This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.
Prof. Pijush Dutta received his B.Tech. and M.Tech. in Electronics and Communication Engineering & Mechatronics Engineering from WBUT, India in 2007 and 2012, respectively & pursuing his PhD degree ( Submitted) from the Department of Electronics & Communication Engineering, Mewar University, India. Currently, he is working as the Assistant Professor & Head of the Department of Electronics and Communication Engineering Department, Greater Kolkata College of Engineering & Management, Baruipur, India. He was the former Head of ECE Department, Global Institute of Management Technology, Krishnagar, India from 2018 to 2022. His current research interests include Sensor & transducer, nonlinear process control system, Mechatronics system & Control, optimization, intelligent system, Internet of Things (IOT), machine learning & Deep learning. He has 50+ publications in peer-reviewed journals, and in national and international conferences. He also published 14 National & International patents so far. Prof. Dutta has authored 3 books in his credit. He is also editorial and review board member of many peer review international journals. Dr. Souvik Pal is an Associate Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Dr. Pal received his M. Tech, and PhD degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. He has more than a decade of academic experience. He is author or co-editor of more than 18 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He has more than 75 Publications in his credit in Scopus / SCI/SCIE Journals and conferences. He is serving as a Series Editor for "Advances in Learning Analytics for Intelligent Cloud-IoT Systems", published by Scrivener-Wiley Publishing (Scopus-indexed); "Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication", published CRC Press, Taylor & Francis Group, USA; "Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization", published CRC Press, Taylor & Francis Group, USA. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA. Dr. Asok Kumar received his B.Tech & M.Tech Degree in radio physics and Electronics from Calcutta University in 1997 & 1999 respectively and received his PhD degree from Jadavpur University, 2007. Currently Dr. Kumar working a Dean of the Student welfare Department at Vidyasagar University, West Bengal, India. He has more than 21 years of teaching & more than 15 years of research experience. Apart from teaching & research activity, he has more than 10 years of administrative experience as a HOD, Dean of Academics, NBA Coordinator & Principal of several reputated Engineering Colleges. Dr. Kumar research includes data security, Wireless Communication, Information Theory & Coding, Computer Networking, Intelligent Control, Soft Computing, Optimization, and Sensor & Transducer. He has more than 90 research articles in his credit, published in national, international & conference proceedings. He is a reviewer of more than 10 national international journals .he has authored 2 Author book & 7 book chapters in the field of data security & networking. He has been invited as a keynote speaker at many national level institutes & organizations. He is a member of various professional bodies like IE (India), IEEE, ISTE, IACSIT, etc. Dr. Korhan Cengiz received the BSc Degree in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey in 2008 and 2009 respectively. He took his MSc degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and the PhD degree in Electronics Engineering from Kadir Has University, Turkey in 2016. Since September 2022, He has been associate professor in the department of Computer Engineering, Istinye University, Istanbul, Turkey. Since April 2022, he has been the chair of the research committee of University of Fujairah, United Arab Emirates. Since August 2021, he has been an Assistant Professor at the College of Information Technology in University of Fujairah, UAE. Dr. Cengiz is the author of over 40 SCI / SCI-E articles including IEEE Internet of Things Journal, IEEE Access, Expert Systems with Applications, Knowledge Based Systems and ACM Transactions on Sensor Networks, 5 international patents, more than 10 book chapters, and 1 book in Turkish. He is editor of more than 10 books. His research interests include wireless sensor networks, wireless communications, statistical signal processing, indoor positioning systems, internet of things, power electronics and 5G. He is the Associate Editor of IEEE Potentials Magazine, Handling Editor of Microprocessors and Microsystems, Elsevier, Associate Editor of IET Electronics Letters, IET Networks. He has also Guest Editorial Positions in IEEE Internet of Things Magazine. He serves several reviewer positions for IEEE Internet of Things Journal, IEEE Sensors Journal and IEEE Access. He serves several book editorial positions in IEEE, Springer, Elsevier, Wiley and CRC. He presented 40+ keynote talks in reputed IEEE and Springer Conferences about WSNs, IoT and 5G. He is Senior Member, IEEE and Professional Member of ACM. Dr. Cengiz’ s awards and honors include the Tubitak Priority Areas PhD Scholarship, the Kadir Has University PhD Student Scholarship, best presentation award in ICAT 2016 Conference and best paper award in ICAT 2018 Conference.
Part A: Artificial Intelligence & Cognitive Computing : Theory &Concept
1. Introduction to AI. 2. Practical Approach of Fuzzy Logic Controller. 3. A Practical Approach to Neural Network Models. 4. Introduction to Genetic Algorithm. 5. Modeling of ANFIS (Adaptive Fuzzy Inference System) System. 6. Machine Learning Techniques for Cognitive Modeling
Part B: Artificial Intelligence & Cognitive Computing : Practices
7. Parametric Optimization of N Channel JFET using Bio Inspired Optimization Techniques. 8. AI based Model of Clinical and Epidemiological Factors for COVID19. 9. Fuzzy Logic Based Parametric Optimization Technique of Electro Chemical Discharge Micro-Machining (µ-CDM) Process during Micro-Channel Cutting on Silica Glass. 10. Study of ANFIS model to Forecast the Average Localization Error (ALE) with Applications to Wireless Sensor Networks (WSN). 11. Performance Estimation of Photovoltaic Cell using Hybrid Genetic Algorithm & Particle Swarm Optimization. 12. Bio inspired Optimization based PID Controller Tuning for a Non-Linear Cylindrical Tank System. 13. A Hybrid Algorithm Based on CSO & PSO for Parametric Optimization of Liquid Flow model. 14. Modelling of Improved Deep Learning Algorithm for Detection of Type 2 Diabetes. 15. Human Activity Recognition (HAR), Prediction & Analysis using Machine Learning
| Erscheinungsdatum | 03.04.2023 |
|---|---|
| Reihe/Serie | Chapman & Hall/CRC Internet of Things |
| Zusatzinfo | 58 Tables, black and white; 92 Line drawings, black and white; 99 Halftones, black and white; 191 Illustrations, black and white |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 720 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-032-10570-4 / 1032105704 |
| ISBN-13 | 978-1-032-10570-3 / 9781032105703 |
| Zustand | Neuware |
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