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  • Theory of Practical Cellular Automaton

    Series series Business and Management (R0)
    This book addresses the intellectual foundations, function, modeling approaches and complexity of cellular automata; explores cellular automata in combination with genetic algorithms, neural networks and agents; and discusses the applications of cellular automata in economics, traffic and the spread of disease. Pursuing a blended approach between knowledge and philosophy, it assigns equal value to ... Read more

    $152.09 USD

  • Particle Swarm Optimizer and Multi-Objective Optimization

    Series series Mathematics and Statistics (R0)
    This book provides a comprehensive overview of the foundational attributes of the Particle Swarm Optimization(PSO) algorithm, including general descriptions, topological structures, evaluation metrics, and diversity. It explores in depth the issues of premature convergence and the kinematic characteristics of the Gbest (Global best), Pbest (Personal best), and standard particle models. The book ... Read more

    $89.09 USD

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    A Guided Tour

    What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of neurons produce something as extraordinarily complex as consciousness? In this remarkably clear and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate tour of the sciences of complexity, a broad set of efforts that seek to explain how ... Read more

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  • The Engine of Complexity

    Evolution as Computation

    by John Mayfield ...
    The concepts of evolution and complexity theory have become part of the intellectual ether permeating the life sciences, the social and behavioral sciences, and, more recently, management science and economics. In this book, John E. Mayfield elegantly synthesizes core concepts from multiple disciplines to offer a new approach to understanding how evolution works and how complex organisms, ... Read more

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  • A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

    Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students ... Read more

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  • Introduction to Statistical Pattern Recognition

    This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded ... Read more

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  • Geophysical Data Analysis: Discrete Inverse Theory

    MATLAB Edition

    by William Menke ...
    Series Book 45 - International Geophysics
    Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of: - MATLAB examples and problem sets - Advanced color graphics - Coverage of new topics, including Adjoint ... Read more

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  • Neural-Based Orthogonal Data Fitting

    The EXIN Neural Networks

    Series Book 66 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
    The presentation of a novel theory in orthogonal regressionThe literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold, Neural-Based Orthogonal Data Fitting is the first book to start with the MCA problem and arrive at important conclusions about the PCA problem.The book ... Read more

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  • Introduction to Stochastic Processes with R

    An introduction to stochastic processes through the use of RIntroduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of probability theory in the natural and social sciences. The use of simulation, by means of the popular statistical software R, makes theoretical results come alive ... Read more

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  • Principles Of Quantum Artificial Intelligence

    In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum ... Read more

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  • Bell's Inequality Untwisted

    by Jim Spinosa ...
    "Bell's Inequality Untwisted" is a unique book. My aim is to explain in detail all the equations and statements in John S. Bell's ground-breaking paper, published in 1964, "On the Einstein Podolsky Rosen Paradox." I attempt an in depth explanation of Bell's paper in a way that is understandable to a wide audience. In the process of explaining every equation in detail, it becomes clear that Bell's ... Read more

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  • Quantum Machine Learning and Optimisation in Finance

    On the Road to Quantum Advantage

    Learn the principles of quantum machine learning and how to apply themWhile focus is on financial use cases, all the methods and techniques are transferable to other fieldsPurchase of Print or Kindle includes a free eBook in PDFKey FeaturesDiscover how to solve optimisation problems on quantum computers that can provide a speedup edge over classical methodsUse methods of analogue and digita... ... Read more

    $43.19 USD or Free with Kobo Plus