[PDF] Artificial Neural Networks In Chemical Engineering - eBooks Review

Artificial Neural Networks In Chemical Engineering


Artificial Neural Networks In Chemical Engineering
DOWNLOAD
AUDIOBOOK
READ ONLINE

Download Artificial Neural Networks In Chemical Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Neural Networks In Chemical Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Elements Of Artificial Neural Networks With Selected Applications In Chemical Engineering And Chemical And Biological Sciences


Elements Of Artificial Neural Networks With Selected Applications In Chemical Engineering And Chemical And Biological Sciences
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : Sanjeev S. Tambe
language : en
Publisher: Simulation & Advanced Controls Incorporated
Release Date : 1996

Elements Of Artificial Neural Networks With Selected Applications In Chemical Engineering And Chemical And Biological Sciences written by Sanjeev S. Tambe and has been published by Simulation & Advanced Controls Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Biology categories.




Neural Networks For Chemical Engineers


Neural Networks For Chemical Engineers
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : A. B. Bulsari
language : en
Publisher: Elsevier Publishing Company
Release Date : 1995

Neural Networks For Chemical Engineers written by A. B. Bulsari and has been published by Elsevier Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.


Hardbound. Although neural and connectionist models have been known for decades, their first appearance in chemical engineering was as late as 1988. This book is an attempt to expedite a cautious intake of neural networks into chemical engineering.Besides core chemical engineering, it includes applications in process engineering, biochemical engineering, and metallurgical engineering. Of the 27 chapters, six cover theoretical issues and the remaining 21 cover applications.



Modeling And Simulation In Chemical Engineering


Modeling And Simulation In Chemical Engineering
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : Christo Boyadjiev
language : en
Publisher: Springer Nature
Release Date : 2021-12-08

Modeling And Simulation In Chemical Engineering written by Christo Boyadjiev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-08 with Science categories.


This book presents a theoretical analysis of the modern methods used for modeling various chemical engineering processes. Currently, the two primary problems in the chemical industry are the optimal design of new devices and the optimal control of active processes. Both of these problems are often solved by developing new methods of modeling. These methods for modeling specific processes may be different, but in all cases, they bring the mathematical description closer to the real processes by using appropriate experimental data. In this book, the authors detail a new approach for the modeling of chemical processes in column apparatuses. Further, they describe the types of neural networks that have been shown to be effective in solving important chemical engineering problems. Readers are also presented with mathematical models of integrated bioethanol supply chains (IBSC) that achieve improved economic and environmental sustainability. The integration of energy and mass processes is one of the most powerful tools for creating sustainable and energy efficient production systems. This book defines the main approaches for the thermal integration of periodic processes, direct and indirect, and the recent integration of small-scale solar thermal dryers with phase change materials as energy accumulators. An exciting overview of new approaches for the modeling of chemical engineering processes, this book serves as a guide for the important innovations being made in theoretical chemical engineering.



Artificial Neural Networks In Chemical Engineering


Artificial Neural Networks In Chemical Engineering
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : Angelo Basile
language : en
Publisher: Nova Science Publishers
Release Date : 2017

Artificial Neural Networks In Chemical Engineering written by Angelo Basile and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Chemical engineering categories.


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.



Neural Networks In Bioprocessing And Chemical Engineering


Neural Networks In Bioprocessing And Chemical Engineering
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : D. R. Baughman
language : en
Publisher: Academic Press
Release Date : 2014-06-28

Neural Networks In Bioprocessing And Chemical Engineering written by D. R. Baughman and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Science categories.


Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus on its practical applications in bioprocessing and chemical engineering. Examples, problems, and 10 detailed case studies demonstrate how to develop, train, and apply neural networks. A disk containing input data files for all illustrative examples, case studies, and practice problems provides the opportunity for hands-on experience. An important goal of the book is to help the student or practitioner learn and implement neural networks quickly and inexpensively using commercially available, PC-based software tools. Detailed network specifications and training procedures are included for all neural network examples discussed in the book. Each chapter contains an introduction, chapter summary, references to further reading, practice problems, and a section on nomenclature Includes a PC-compatible disk containing input data files for examples, case studies, and practice problems Presents 10 detailed case studies Contains an extensive glossary, explaining terminology used in neural network applications in science and engineering Provides examples, problems, and ten detailed case studies of neural computing applications, including: Process fault-diagnosis of a chemical reactor Leonard Kramer fault-classification problem Process fault-diagnosis for an unsteady-state continuous stirred-tank reactor system Classification of protein secondary-structure categories Quantitative prediction and regression analysis of complex chemical kinetics Software-based sensors for quantitative predictions of product compositions from flourescent spectra in bioprocessing Quality control and optimization of an autoclave curing process for manufacturing composite materials Predictive modeling of an experimental batch fermentation process Supervisory control of the Tennessee Eastman plantwide control problem Predictive modeling and optimal design of extractive bioseparation in aqueous two-phase systems



Artificial Intelligence In Chemical Engineering


Artificial Intelligence In Chemical Engineering
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : Thomas E. Quantrille
language : en
Publisher: Elsevier
Release Date : 2012-12-02

Artificial Intelligence In Chemical Engineering written by Thomas E. Quantrille and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.


Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. Allows the reader to learn AI quickly using inexpensive personal computers Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions Includes a computer diskette for an illustrated case study Demonstrates an expert system for separation synthesis (EXSEP) Presents a detailed review of published literature on expert systems and neural networks in chemical engineering



Process Neural Networks


Process Neural Networks
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : Xingui He
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-05

Process Neural Networks written by Xingui He and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-05 with Computers categories.


For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.



Experimental Methods And Instrumentation For Chemical Engineers


Experimental Methods And Instrumentation For Chemical Engineers
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : Gregory S. Patience
language : en
Publisher: Elsevier
Release Date : 2017-09-08

Experimental Methods And Instrumentation For Chemical Engineers written by Gregory S. Patience and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-08 with Science categories.


Experimental Methods and Instrumentation for Chemical Engineers, Second Edition, touches many aspects of engineering practice, research, and statistics. The principles of unit operations, transport phenomena, and plant design constitute the focus of chemical engineering in the latter years of the curricula. Experimental methods and instrumentation is the precursor to these subjects. This resource integrates these concepts with statistics and uncertainty analysis to define what is necessary to measure and to control, how precisely and how often.The completely updated second edition is divided into several themes related to data: metrology, notions of statistics, and design of experiments. The book then covers basic principles of sensing devices, with a brand new chapter covering force and mass, followed by pressure, temperature, flow rate, and physico-chemical properties. It continues with chapters that describe how to measure gas and liquid concentrations, how to characterize solids, and finally a new chapter on spectroscopic techniques such as UV/Vis, IR, XRD, XPS, NMR, and XAS. Throughout the book, the author integrates the concepts of uncertainty, along with a historical context and practical examples.A problem solutions manual is available from the author upon request. Includes the basics for 1st and 2nd year chemical engineers, providing a foundation for unit operations and transport phenomena Features many practical examples Offers exercises for students at the end of each chapter Includes up-to-date detailed drawings and photos of equipment



Artificial Neural Networks


Artificial Neural Networks
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : Gayle Cain
language : en
Publisher: Nova Science Publishers
Release Date : 2016-12

Artificial Neural Networks written by Gayle Cain and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12 with Neural networks (Computer science) categories.


This current book provides new research on artificial neural networks (ANNs). Topics discussed include the application of ANNs in chemistry and chemical engineering fields; the application of ANNs in the prediction of biodiesel fuel properties from fatty acid constituents; the use of ANNs for solar radiation estimation; the use of in silico methods to design and evaluate skin UV filters; a practical model based on the multilayer perceptron neural network (MLP) approach to predict the milling tool flank wear in a regular cut, as well as entry cut and exit cut, of a milling tool; parameter extraction of small-signal and noise models of microwave transistors based on ANNs; and the application of ANNs to deep-learning and predictive analysis in semantic TCM telemedicine systems.



Neural Networks In Bioprocessing And Chemical Engineering


Neural Networks In Bioprocessing And Chemical Engineering
DOWNLOAD
AUDIOBOOK
READ ONLINE
Author : D. Richard Baughman
language : en
Publisher:
Release Date : 1995

Neural Networks In Bioprocessing And Chemical Engineering written by D. Richard Baughman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Biotechnological process control categories.