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Meilleures séries dans ce pays : Canada

1-12 sur 12 résultats pour « chong lin »
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  • Complex-Valued Neural Networks Systems with Time Delay

    Stability Analysis and (Anti-)Synchronization Control

    par Ziye Zhang, Zhen Wang, Jian Chen, Chong Lin ...
    Collections series Physics and Astronomy (R0)
    This book provides up-to-date developments in the stability analysis and (anti-)synchronization control area for complex-valued neural networks systems with time delay. It brings out the characteristic systematism in them and points out further insight to solve relevant problems. It presents a comprehensive, up-to-date, and detailed treatment of dynamical behaviors including stability analysis and ... En savoir plus

    $166.99 CAD

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  • Pattern Recognition

    par Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... En savoir plus

    $95.99 CAD

  • Data-Driven Fault Detection and Reasoning for Industrial Monitoring

    par Jing Wang, Jinglin Zhou, Xiaolu Chen ...
    Collections series Engineering (R0)
    This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and ... En savoir plus

    Gratuit

  • Complex-Valued Neural Networks

    Advances and Applications

    Modifié par Akira Hirose ...
    Collections Livre 18 - IEEE Press Series on Computational Intelligence
    Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed ... En savoir plus

    $159.99 CAD

  • Nonlinear System Identification

    NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains

    par Stephen A. Billings ...
    Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice.Includes coverage of ... En savoir plus

    $166.99 CAD

  • Rough-Fuzzy Pattern Recognition

    Applications in Bioinformatics and Medical Imaging

    par Pradipta Maji, Sankar K. Pal ...
    Collections Livre 3 - Wiley Series in Bioinformatics
    Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processingEmphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to ... En savoir plus

    $139.99 CAD

  • Data Processing for the AHP/ANP

    par Daji Ergu, Yong Shi, Gang Kou, Yi Peng ...
    Collections series Business and Management (R0)
    The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank ... En savoir plus

    $64.99 CAD

  • Neural Networks and Statistical Learning

    par Ke-Lin Du, M. N. S. Swamy ...
    Collections series Engineering (R0)
    Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of ... En savoir plus

    $128.09 CAD

  • Machine Learning and Its Application to Reacting Flows

    ML and Combustion

    Modifié par Nedunchezhian Swaminathan, Alessandro Parente ...
    Collections series Energy (R0)
    This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the ... En savoir plus

    Gratuit

  • The Science of Deep Learning

    par 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 ... En savoir plus

    $61.99 CAD

  • Sparse Representation, Modeling and Learning in Visual Recognition

    Theory, Algorithms and Applications

    par Hong Cheng ...
    Collections series Computer Science (R0)
    This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, ... En savoir plus

    $115.99 CAD

  • Blind Source Separation

    Theory and Applications

    par Xianchuan Yu, Dan Hu, Jindong Xu ...
    A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studiesThe book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on ... En savoir plus

    $199.99 CAD