Application of Neural Networks and Other Learning Technologies in Process Engineering
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Published By PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO.

9781860942631, 9781848161467

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TRAINING RADIAL BASIS FUNCTION NETWORKS FOR PROCESS IDENTIFICATION WITH AN EMPHASIS ON THE BAYESIAN EVIDENCE APPROACH

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0004 ◽

2001 ◽

pp. 77-98 ◽

Cited By ~ 1

Author(s):

L. S. KERSHENBAUM ◽

A. R. MAGNI

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

Process Identification ◽

Radial Basis ◽

Bayesian Evidence

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INTELLIGENT MODELING AND OPTIMIZATION OF PROCESS OPERATIONS USING NEURAL NETWORKS AND GENETIC ALGORITHMS: RECENT ADVANCES AND INDUSTRIAL VALIDATION

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0015 ◽

2001 ◽

pp. 371-405 ◽

Cited By ~ 1

Author(s):

L. PUIGJANER

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Modeling And Optimization ◽

Intelligent Modeling ◽

Recent Advances ◽

Process Operations

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COMBINING NEURAL NETWORKS AND FIRST PRINCIPLE MODELS FOR BIOPROCESS MODELING

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0006 ◽

2001 ◽

pp. 121-148 ◽

Cited By ~ 3

Author(s):

B. EIKENS ◽

M. N. KARIM ◽

L. SIMON

Keyword(s):

Neural Networks ◽

First Principle ◽

Bioprocess Modeling

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RBFN IDENTIFICATION OF AN INDUSTRIAL POLYMERIZATION REACTOR MODEL

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0002 ◽

2001 ◽

pp. 23-48 ◽

Cited By ~ 1

Author(s):

J. D. BOMBERGER ◽

D. E. SEBORG ◽

B. A. OGUNNAIKE

Keyword(s):

Reactor Model ◽

Polymerization Reactor

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FRONT MATTER

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_fmatter ◽

2001 ◽

pp. i-xv

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PROCESS IDENTIFICATION WITH SELF-ORGANIZING NETWORKS

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0003 ◽

2001 ◽

pp. 49-75

Author(s):

B. EIKENS ◽

M. N. KARIM ◽

L. SIMON

Keyword(s):

Process Identification ◽

Self Organizing Networks ◽

Self Organizing

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SET POINT TRACKING IN BATCH REACTORS: USE OF PID AND GENERIC MODEL CONTROL WITH NEURAL NETWORK TECHNIQUES

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0010 ◽

2001 ◽

pp. 217-241 ◽

Cited By ~ 1

Author(s):

N. AZIZ ◽

I. M. MUJTABA ◽

M. A. HUSSAIN

Keyword(s):

Neural Network ◽

Generic Model ◽

Batch Reactors ◽

Set Point ◽

Point Tracking ◽

Model Control ◽

Generic Model Control

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SIMULATION OF LIQUID-LIQUID EXTRACTION DATA WITH ARTIFICIAL NEURAL NETWORKS

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0001 ◽

2001 ◽

pp. 3-22 ◽

Cited By ~ 1

Author(s):

C. ALDRICH ◽

M. J. SLATER

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Liquid Extraction ◽

Liquid Liquid Extraction ◽

Artificial Neural

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PROCESS IDENTIFICATION OF A FED-BATCH PENICILLIN PRODUCTION PROCESS - TRAINING WITH THE EXTENDED KALMAN FILTER

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0005 ◽

2001 ◽

pp. 99-118 ◽

Cited By ~ 2

Author(s):

R. SCHEFFER ◽

R. MACIEL FILHO

Keyword(s):

Kalman Filter ◽

Production Process ◽

Extended Kalman Filter ◽

Penicillin Production ◽

Fed Batch ◽

Process Identification

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ADAPTIVE INVERSE MODEL CONTROL OF A CONTINUOUS FERMENTATION PROCESS USING NEURAL NETWORKS

Application of Neural Networks and Other Learning Technologies in Process Engineering ◽

10.1142/9781848161467_0009 ◽

2001 ◽

pp. 199-216 ◽

Cited By ~ 2

Author(s):

M. A. HUSSAIN

Keyword(s):

Neural Networks ◽

Fermentation Process ◽

Continuous Fermentation ◽

Inverse Model ◽

Model Control

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Application of Neural Networks and Other Learning Technologies in Process EngineeringLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO.

TRAINING RADIAL BASIS FUNCTION NETWORKS FOR PROCESS IDENTIFICATION WITH AN EMPHASIS ON THE BAYESIAN EVIDENCE APPROACH

INTELLIGENT MODELING AND OPTIMIZATION OF PROCESS OPERATIONS USING NEURAL NETWORKS AND GENETIC ALGORITHMS: RECENT ADVANCES AND INDUSTRIAL VALIDATION

COMBINING NEURAL NETWORKS AND FIRST PRINCIPLE MODELS FOR BIOPROCESS MODELING

RBFN IDENTIFICATION OF AN INDUSTRIAL POLYMERIZATION REACTOR MODEL

FRONT MATTER

PROCESS IDENTIFICATION WITH SELF-ORGANIZING NETWORKS

SET POINT TRACKING IN BATCH REACTORS: USE OF PID AND GENERIC MODEL CONTROL WITH NEURAL NETWORK TECHNIQUES

SIMULATION OF LIQUID-LIQUID EXTRACTION DATA WITH ARTIFICIAL NEURAL NETWORKS

PROCESS IDENTIFICATION OF A FED-BATCH PENICILLIN PRODUCTION PROCESS - TRAINING WITH THE EXTENDED KALMAN FILTER

ADAPTIVE INVERSE MODEL CONTROL OF A CONTINUOUS FERMENTATION PROCESS USING NEURAL NETWORKS

Application of Neural Networks and Other Learning Technologies in Process Engineering
Latest Publications