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Top Series in United States

Showing 1 - 12 of 12 results for “lidia auret”
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  • Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

    by Chris Aldrich, Lidia Auret ...
    Series series Computer Science (R0)
    This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to enhance unsupervised learning in tree-based methods, ... Read more

    $107.09 USD

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  • Pattern Recognition

    by 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 ... Read more

    $96.29 USD

  • Principles Of Artificial Neural Networks (3rd Edition)

    by Daniel Graupe ...
    Series Book 7 - Advanced Series In Circuits And Systems
    Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications ... Read more

    $41.39 USD

  • Comprehensive Chemometrics

    Chemical and Biochemical Data Analysis

    by Roma Tauler, Beata Walczak, Steven Brown ...
    Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications.This major reference work provides broad-ranging, validated summaries of the major topics ... Read more

    $3,091.99 USD

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    by Ilya Narsky, Frank C. Porter ...
    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... Read more

    $102.00 USD

  • Data-Driven Fault Detection and Reasoning for Industrial Monitoring

    by Jing Wang, Jinglin Zhou, Xiaolu Chen ...
    Series Book 3 - Intelligent Control and Learning Systems
    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 ... Read more

    Free

  • Deep Learning For Physics Research

    by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt ...
    A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Read more

    $35.09 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

  • Kernel Methods and Machine Learning

    by S. Y. Kung ...
    Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to ... Read more

    $98.39 USD

  • Nonlinear System Identification

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

    by 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 ... Read more

    $130.00 USD

  • Gmdh-methodology And Implementation In Matlab

    by Godfrey C Onwubolu ...
    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Read more

    $38.69 USD

  • Neural Networks and Statistical Learning

    by Ke-Lin Du, M. N. S. Swamy ...
    Series 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 ... Read more

    $107.09 USD