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1-12 sur 12 résultats pour « yan fu li »
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  • Enhancing Life Cycle Reliability with Robust Engineering and Predictive Health Management

    par Matthew Hu, Yan-Fu Li, Andre V. Kleyner ...
    Collections series Quality and Reliability Engineering Series
    Enhancing Life Cycle Reliability with Robust Engineering and Predictive Health ManagementComplete process for ensuring product performance through robust concept design, robust optimization, selection, and verification in an uncontrollable user environmentEnhancing Life Cycle Reliability with Robust Engineering and Predictive Health Management enables readers to build a robustness-thinking-based ... En savoir plus

    $146.99 CAD

  • System Reliability Assessment and Optimization

    Methods and Applications

    par Yan-Fu Li, Enrico Zio, Andre V. Kleyner ...
    Collections series Quality and Reliability Engineering Series
    This book offers a comprehensive overview of recently developed methods for assessing and optimizing system reliability. It consists of two main parts, for treating assessment methods and optimization methods, respectively.The first part covers methods of multi-state system reliability modelling and evaluation, Markov processes, Monte Carlo simulation and uncertainty analysis. The methods ... En savoir plus

    $124.99 CAD

  • Software Fault Detection and Correction: Modeling and Applications

    par Rui Peng, Yan-Fu Li, Yu Liu ...
    Collections series Computer Science (R0)
    This book focuses on software fault detection and correction processes, presenting 5 different paired models introduced over the last decade and discussing their applications, in particular to determining software release time.The first work incorporates the testing effort function and the fault introduction process into the paired fault detection and fault correction models. The second work ... En savoir plus

    $64.99 CAD

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    From GSM to LTE

    par Maciej Stasiak, Mariusz Glabowski, Arkadiusz Wisniewski, Piotr Zwierzykowski ...
    This book is a must-read for all network planners and other professionals wishing to improve the quality and cost efficiency of 3G and LTE networksIn this book, the authors address the architecture of the 2/3G network and the Long Term Evolution (LTE) network. The book proposes analytical models that make the analysis and dimensioning of the most important interfaces, i.e. WCDMA or Iub, possible. ... En savoir plus

    $115.99 CAD

  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    par John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... En savoir plus

    $95.99 CAD

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    par 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. ... En savoir plus

    $140.99 CAD

  • Probabilistic Machine Learning

    An Introduction

    par Kevin P. Murphy ...
    Collections 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 ... En savoir plus

    $127.99 CAD

  • Hands-On Unsupervised Learning with Python

    Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

    par Giuseppe Bonaccorso ...
    Discover the skill-sets required to implement various approaches to Machine Learning with PythonKey FeaturesExplore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and moreBuild your own neural network models using modern Python librariesPractical examples show you how to implement different machine learning and deep learning techniquesBook DescriptionUnsupervised ... En savoir plus

    $44.99 CAD ou Gratuit avec Kobo Plus

  • Principles of Optimal Design

    Modeling and Computation

    par 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 ... En savoir plus

    $87.99 CAD

  • Algorithms for Optimization

    par 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 ... En savoir plus

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  • Gmdh-methodology And Implementation In Matlab

    par 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 ... En savoir plus

    $47.99 CAD

  • Handbook of Monte Carlo Methods

    par Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev ...
    Collections Livre 706 - Wiley Series in Probability and Statistics
    A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applicationsMore and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the ... En savoir plus

    $206.99 CAD