rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Intelligent systems in process engineering
    part number: Part II
    part name: Paradigms from process operations
  title info:
    title: Paradigms from process operations
  name:
    name part: Stephanopoulos, George.
  name:
    name part: Han, Chonghun.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    place:
      place term: San Diego
    publisher: Academic Press
    date issued: 1995
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxxi, 313-625 pages) : illustrations
  abstract: Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reason.
  table of contents: Front Cover; Advcances in Chemical Engineering, Volume 22; Copyright Page; Contents; Contributors to Volume 22; Prologue; Chapter 1. Nonmonotonic Reasoning: The Synthesis of Operating Procedures in Chemical Plants; I. Introduction; II. HierarchicalModeling of Processes and Operations; III. Nonmonotonic Planning; IV. Illustrations of Modeling and Nonmonotonic Operations Planning; V. Revamping Process Designs to Ensure Feasibility of Operating Procedures; VI. Summary and Conclusions; References; Chapter 2. Inductive and Analogic Learning: Data-Driven Improvement of Process Operations.
  table of contents: I. IntroductionII. General Problem Statement and Scope of the Learning Task; III. A Generic Framework to Describe Learning Procedures; IV. Learning with Categorical Performance Metrics; V. Continuous Performance Metrics; VI. Systems with Multiple Operational Objectives; VII. Complex Systems with Internal Structure; VIII. Summary and Conclusions; References; Chapter 3. Empirical Learning through Neural Networks: The Wave-Net Solution; I. Introduction; II. Formulation of the Functional Estimation Problem; III. Solution to the Functional Estimation Problem.
  table of contents: IV. Applications of the Learning AlgorithmV. Conclusions; VI. Appendices; References; Chapter 4. Reasoning in Time: Modeling, Analysis, and Pattern Recognition of Temporal Process Trends; I. Introduction; II. Formal Representation of Process Trends; III. Wavelet Decomposition: Extraction of Trends at Multiple Scales; IV. Compression of Process Data through Feature Extraction and Functional Approximation; V. Recognition of Temporal Patterns for Diagnosis and Control; VI. Summary and Conclusions; References.
  table of contents: Chapter 5. Intelligence in Numerical Computing: Improving Batch Scheduling Algorithms through Explanation-Based LearningI. Introduction; II. Formal Description of Branch-and-Bound Framework; III. The Use of Problem-Solving Experience in Synthesizing New Control Knowledge; IV. Representation; V. Learning; VI. Conclusions; References; Index; Contents of Volume in This Serial.
  note: edited by George Stephanopoulos, Chonghun Han.
  note: Includes bibliographical references and index.
  subject:
    topic: Chemical process control
  subject:
    topic: Intelligent control systems
  subject:
    topic: Procédés chimiques
    topic: Contrôle
  subject:
    topic: Commande intelligente
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Chemical & Biochemical
  subject:
    topic: SCIENCE
    topic: Chemistry
    topic: Industrial & Technical
  subject:
    topic: Chemical process control
  subject:
    topic: Intelligent control systems
  classification: TP155.75 .I58eb vol. 22, pt. 2
  classification: 660/.2815
  related item:
    title info:
      title: Intelligent systems in process engineering. Part II, Paradigms from process operations
    origin info:
      publisher: San Diego : Academic Press, 1995
    identifier: (OCoLC)258352409
  related item:
    title info:
      title: Advances in chemical engineering ; 22
  identifier: 9780080565699
  identifier: 0080565697
  identifier: 0120085224
  identifier: 9780120085224
  identifier: 9780080565699 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 081027
    record change date: 20260326155319.4
    record identifier: in00005734908
    language of cataloging:
      language term: eng