Artificial Neural Networks in Chemical Engineering

Angelo Basile, Marjan Alavi, Stefano Curcio (Herausgeber)

Buch | Hardcover

180 Seiten

2017
Nova Science Publishers Inc (Verlag)
978-1-5361-1844-5 (ISBN)

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This book introduces readers to the Artificial Neural Network (ANN) and Hybrid Neural (HN) models: two effective tools, which can be exploited to design and control industrial processes. Different topics including modeling, simulation and process design are covered. More efficient analyses and descriptions of real case studies, ranging from membrane technology to the obtaining of second-generation biofuels are also provided. One of the major advantages of the described techniques is represented by the possibility of obtaining accurate predictions of complex systems, whose behaviors might be difficult to describe by conventional first-principle models. One of the major impacts of the present book is to show the true interactions and interconnectivities among different topics belonging to chemical, bio-chemical engineering, energy, bio-processes and bio-technique research fields. Some of the main goals are here are to provide a deep and detailed knowledge about the main features of both ANN and HN models, and to iterate possible topologies to integrate in these ANN and mechanistic models; to cover a wide spectrum of different problems as well as innovative and unconventional modeling techniques; to show how various kinds of advanced models can be exploited either to predict the behavior or to optimize the performance of real processes.

Preface; An Overview on Artificial Neural Networks: The Characteristics & Applications; Modeling & Optimization of Second-Generation Biofuels Obtainment by Neural & Hybrid Models; Reactor Modeling Based on an Artificial Neural Network Approach: Black Box & Gray Box Modeling; Modeling of Membrane Process Performance by Artificial Neural Network; Neural Networks in Thermoelastic Stress Control; Artificial Neural Network Applications in Reservoir Engineering; Hybrid Neural Network Modelling for Process Monitoring & Control; Hybrid ANN-Mechanistic Models for General Chemical & Biochemical Processes; Index.

Erscheinungsdatum	02.06.2017
Verlagsort	New York
Sprache	englisch
Maße	155 x 230 mm
Gewicht	644 g
Themenwelt	Naturwissenschaften ► Chemie ► Technische Chemie
Themenwelt	Technik
ISBN-10	1-5361-1844-3 / 1536118443
ISBN-13	978-1-5361-1844-5 / 9781536118445
Zustand	Neuware