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“cl philip chen”

Showing 1 - 12 of 12 results for “cl philip chen”
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  • Fuzzy Neural Intelligent Systems

    Mathematical Foundation and the Applications in Engineering

    by Hongxing Li, C.L. Philip Chen, Han-Pang Huang ...
    Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations.Fuzzy Neural Intelligent Systems fills this gap. It develops a ... Read more

    $165.00 USD

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  • Probabilistic Machine Learning

    An Introduction

    by Kevin P. Murphy ...
    Series series Adaptive Computation and Machine Learning series
    A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra ... Read more

    $77.99 USD

  • Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques

    by Hung Tan Nguyen, Steve Sai Ho Ling, Hak-keung Lam ...
    This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers ... Read more

    $46.79 USD

  • Pathways to Machine Learning and Soft Computing

    邁向機器學習與軟計算之路（國際英文版）

    by Jyh-Horng Jeng, 鄭志宏 ...
    This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks (ANNs), Radial Basis Function Networks (RBFNs), Fuzzy Neural Networks (FNNs), Support Vector Machines (SVMs), and Wilcoxon Learning Machines (WLMs). The soft computing methods include Genetic ... Read more

    $6.99 USD or Free with Kobo Plus

  • Machine Learning - A Journey To Deep Learning: With Exercises And Answers

    by Andreas Miroslaus Wichert, Luis Sa-couto ...
    This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning ... Read more

    $120.59 USD

  • Algorithms for Optimization

    by Mykel J. Kochenderfer, Tim A. Wheeler ...
    A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will ... Read more

    $58.99 USD

  • Memory and the Computational Brain

    Why Cognitive Science will Transform Neuroscience

    by C. R. Gallistel, Adam Philip King ...
    Series Book 6 - Blackwell/Maryland Lectures in Language and Cognition
    Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades.A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, ... Read more

    $56.00 USD

  • Principles of Optimal Design

    Modeling and Computation

    by Panos Y. Papalambros, Douglass J. Wilde ...
    Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking ... Read more

    $77.89 USD

  • The Science of Deep Learning

    by Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Read more

    $54.99 USD

  • Computational Intelligence

    Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    by Nazmul Siddique, Hojjat Adeli ...
    Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy ... Read more

    $121.00 USD

  • An Introduction to Machine Learning

    by Miroslav Kubat ...
    Series series Computer Science (R0)
    This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later ... Read more

    $49.49 USD

  • Probabilistic Machine Learning

    Advanced Topics

    by Kevin P. Murphy ...
    Series series Adaptive Computation and Machine Learning series
    An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics ... Read more

    $92.99 USD