A methodology for modeling batch reactors using generalized dynamic neural networks

Chemical Engineering Journal

Volumn 159, Issue 1-3, 2010, Pages 195-202

  Kashani, Moein Navvab ^a   Shahhosseini, Shahrokh ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Batch reactors; Dynamic neural network; Modeling; Principle component analysis (PCA); Sequencing batch reactor (SBR)

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CROSS VALIDATION; DYNAMIC NEURAL NETWORKS; EVALUATION CRITERIA; EXPERIMENTAL DATA; GENERALIZATION CAPABILITY; INPUT PARAMETER; LEAVE-ONE-OUT; MECHANISTIC MODELS; MODEL PERFORMANCE; MODEL PREDICTION; MODELING; MULTIWAY PRINCIPAL COMPONENT ANALYSIS; NETWORK STRUCTURES; RELATIVE ERRORS; SEQUENCING BATCH REACTORS; STATISTICAL TOOLS; TRAINING AND TESTING;

CONTROL EQUIPMENT; DYNAMIC MODELS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MECHANICS;

BATCH REACTORS;

EID: 77950299927     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2010.02.053     Document Type: Article

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