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  • Artificial Neural Networks and Type-2 Fuzzy Set

    Elements of Soft Computing and Its Applications

    Soft computing is an emerging discipline which aims to exploit tolerance for imprecision, approximate reasoning, and uncertainty to achieve robustness, tractability, and cost effectiveness for building intelligent machines. Soft computing methodologies include neural networks, fuzzy sets, genetic algorithms, Bayesian networks, and rough sets, among others. In this regard, neural networks are ... Read more

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  • Vibration of Plates

    Plates are integral parts of most engineering structures and their vibration analysis is required for safe design. Vibration of Plates provides a comprehensive, self-contained introduction to vibration theory and analysis of two-dimensional plates. Reflecting the author's more than 15 years of original research on plate vibration, this book present ... Read more

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  • Wave Dynamics

    There are various types of waves including water, sound, electromagnetic, seismic and shock etc. These waves need to be analyzed and understood for different practical applications. This book is an attempt to consider the waves in detail to understand the physical and mathematical phenomena. A major challenge is to model waves by experimental studies.The aim of this book is to address the ... Read more

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  • Fuzzy Arbitrary Order System

    Fuzzy Fractional Differential Equations and Applications

    Presents a systematic treatment of fuzzy fractional differential equations as well as newly developed computational methods to model uncertain physical problemsComplete with comprehensive results and solutions, Fuzzy Arbitrary Order System: Fuzzy Fractional Differential Equations and Applications details newly developed methods of fuzzy computational techniquesneeded to model solve uncertainty. ... Read more

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  • Static And Dynamic Problems Of Nanobeams And Nanoplates

    This book will deal with different sections associated with bending, buckling and vibration of nanobeams and nanoplates along with systematic description of handling the complexities when nanoscales are considered. The introduction includes basic ideas concerned with nanostructures, the algorithms and iterations followed in numerical methods and introduction to beam and plate theories in ... Read more

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  • Concepts of Soft Computing

    Fuzzy and ANN with Programming

    Series series Computer Science (R0)
    This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are ... Read more

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  • Applied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations

    The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, ... Read more

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  • Advanced Numerical and Semi-Analytical Methods for Differential Equations

    Examines numerical and semi-analytical methods for differential equations that can be used for solving practical ODEs and PDEsThis student-friendly book deals with various approaches for solving differential equations numerically or semi-analytically depending on the type of equations and offers simple example problems to help readers along.Featuring both traditional and recent methods, Advanced ... Read more

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  • Dimensionality Reduction in Machine Learning

    Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature ... Read more

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  • Assistive Robotics

    Modeling, Computation, and Realization

    This book details relevant research toward design and modeling issues for the firmware of higher-order flexible robotic systems (FRS) with concerned chapters delineating state-of-the-art research in FRS, focusing on novel designs and prototype hardware development of different types of multi-link serial-chain as well as closed-loop flexible manipulators. Other concepts explained include bio ... Read more

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  • Assistive Robotics

    Perspectives, Challenges, and Firmware

    This book brings out analytical paradigms and research outcomes of novel assistive robots that are deployed in healthcare or surveillance and indoor service or agricultural activity. It attends to specific design-thread and hardware paradigms of the ensemble domain of assistive robots. This book addresses important research issues of assistive robotics, such as introduction of skewed co-ordinate ... Read more

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  • Computational Fractional Dynamical Systems

    Fractional Differential Equations and Applications

    Computational Fractional Dynamical SystemsA rigorous presentation of different expansion and semi-analytical methods for fractional differential equationsFractional differential equations, differential and integral operators with non-integral powers, are used in various science and engineering applications. Over the past several decades, the popularity of the fractional derivative has increased ... Read more

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