Table of Contents
Table of Contents
Preface
Chapter 1. An Overview on Artificial Neural Networks: The Characteristics and Applications
Marjan Alavi and Mojtaba Khanizadeh (Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran, and others)
Chapter 2. Modeling and Optimization of Second-Generation Biofuels Obtainment by Neural and Hybrid Models
Stefano Curcio (Laboratory of Transport Phenomena and Biotechnology, Department of Computer Engineering, Modeling, Electronics and Systems, University of Calabria, Rende (CS), Italy)
Chapter 3. Reactor Modeling Based on an Artificial Neural Network Approach: Black Box and Gray Box Modeling
Marjan Alavi and Mojtaba Khanizadeh (Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran, and others)
Chapter 4. Modeling of Membrane Process Performance by Artificial Neural Network
Kamran Ghasemzadeh, Abbas Aghaeinejad-Meybodi and Angelo Basile (Department of Chemical Engineering, Urmia University of Technology, Urmia, Iran, and others)
Chapter 5. Neural Networks in Thermoelastic Stress Control
Krzysztof Dominiczak and Romuald Rzadkowski (Department of Dynamics of Machines, Institute of Fluid Flow Machinery of Polish Academy of Sciences, Gdansk, Poland)
Chapter 6. Artificial Neural Network Applications in Reservoir Engineering
Turgay Ertekin and Qian Sun (Pennsylvania State University, University Park, PA, USA)
Chapter 7. Hybrid Neural Network Modelling for Process Monitoring and Control
Moritz von Stosch, Jie Zhang and Mark Willis (School of Chemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, UK)
Chapter 8. Hybrid ANN-Mechanistic Models for General Chemical and Biochemical Processes
Cristiana Azevedo, Robert Lee, Rui M. C. Portela, Moritz von Stosch and Rui Oliveira (LAQV-REQUIMTE, Nova University of Lisbon, Caparica, Portugal, and others)
Index