New Paradigms in Computational Modeling and Its Applications

In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields. New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics. The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks. Presents a self-contained and up to date review of modelling real life scientific and engineering application problems Introduces new concepts of various computing techniques to handle different engineering and science problems Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms

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  • Author : Snehashish Chakraverty
  • Publisher : Academic Press
  • Pages : 278 pages
  • ISBN : 0128221682
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKNew Paradigms in Computational Modeling and Its Applications

New Paradigms in Computational Modeling and Its Applications

New Paradigms in Computational Modeling and Its Applications
  • Author : Snehashish Chakraverty
  • Publisher : Academic Press
  • Release : 25 January 2021
GET THIS BOOKNew Paradigms in Computational Modeling and Its Applications

In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit

Computational Intelligence and Its Applications in Healthcare

Computational Intelligence and Its Applications in Healthcare
  • Author : Prashant Johri,Jitendra Kumar Verma,Sudip Paul
  • Publisher : Academic Press
  • Release : 01 August 2020
GET THIS BOOKComputational Intelligence and Its Applications in Healthcare

Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems. Computational intelligence is the study of the design of intelligent agents, which are systems that act intelligently: they do what they think are appropriate for their circumstances and goals; they're flexible to changing environments and goals; they learn from experience; and they make appropriate choices given perceptual

Cognitive Informatics, Computer Modelling, and Cognitive Science

Cognitive Informatics, Computer Modelling, and Cognitive Science
  • Author : Ganesh R. Sinha,Jasjit S. Suri
  • Publisher : Academic Press
  • Release : 17 March 2020
GET THIS BOOKCognitive Informatics, Computer Modelling, and Cognitive Science

Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical background and history of cognitive science to help readers understand its foundations, philosophical and psychological aspects, and applications in a wide range of engineering and computer science case studies. Cognitive science, a cognitive model of the brain, knowledge representation, and information processing in the human brain are discussed, as is the theory of consciousness, neuroscience, intelligence, decision-making, mind and behavior analysis, and the various ways

Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence

Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence
  • Author : Gogate, Lakshmi
  • Publisher : IGI Global
  • Release : 28 February 2013
GET THIS BOOKTheoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence

The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the

Catalyzing Inquiry at the Interface of Computing and Biology

Catalyzing Inquiry at the Interface of Computing and Biology
  • Author : National Research Council,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on Frontiers at the Interface of Computing and Biology
  • Publisher : National Academies Press
  • Release : 01 January 2006
GET THIS BOOKCatalyzing Inquiry at the Interface of Computing and Biology

Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress.

Hybrid Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Vaclav Snasel,Deepak Gupta,Ashish Khanna
  • Publisher : Academic Press
  • Release : 05 March 2020
GET THIS BOOKHybrid Computational Intelligence

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of

Computational Frameworks

Computational Frameworks
  • Author : Mamadou Kaba Traore
  • Publisher : Elsevier
  • Release : 07 July 2017
GET THIS BOOKComputational Frameworks

Computational Frameworks: Systems, Models and Applications provides an overview of advanced perspectives that bridges the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. As computational systems are a dominating part of daily lives and a required support for most of the engineering sciences, this book explores their usage (e.g. big data, high performance clusters, databases and information