Artificial Intelligence In Chemical Engineering

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Artificial Intelligence in Chemical Engineering

Thomas E. Quantrille,Y. A. Liu
Artificial Intelligence in Chemical Engineering Book PDF

Author : Thomas E. Quantrille,Y. A. Liu
Publisher : Elsevier
Page : 634 pages
File Size : 49,6 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780080571218

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Artificial Intelligence in Chemical Engineering by Thomas E. Quantrille,Y. A. Liu Pdf

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

Artificial Intelligence in Chemical Engineering

Thomas E. Quantrille,Yih An Liu
Artificial Intelligence in Chemical Engineering Book PDF

Author : Thomas E. Quantrille,Yih An Liu
Publisher : Unknown
Page : 648 pages
File Size : 41,9 Mb
Release : 1991
Category : Artificial intelligence
ISBN : UOM:39015022258233

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Artificial Intelligence in Chemical Engineering by Thomas E. Quantrille,Yih An Liu Pdf

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. Key Features * 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.

Applications of Artificial Intelligence in Process Systems Engineering

Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Applications of Artificial Intelligence in Process Systems Engineering Book PDF

Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Publisher : Elsevier
Page : 542 pages
File Size : 53,9 Mb
Release : 2021-06-05
Category : Technology & Engineering
ISBN : 9780128217436

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Applications of Artificial Intelligence in Process Systems Engineering by Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong Pdf

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Artificial Intelligence in Process Engineering

Michael Mavrovouniotis
Artificial Intelligence in Process Engineering Book PDF

Author : Michael Mavrovouniotis
Publisher : Elsevier
Page : 383 pages
File Size : 55,6 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780323153140

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Artificial Intelligence in Process Engineering by Michael Mavrovouniotis Pdf

Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers.

Machine Learning in Chemistry

Jon Paul Janet,Heather J. Kulik
Machine Learning in Chemistry Book PDF

Author : Jon Paul Janet,Heather J. Kulik
Publisher : American Chemical Society
Page : 189 pages
File Size : 48,5 Mb
Release : 2020-05-28
Category : Science
ISBN : 9780841299009

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Machine Learning in Chemistry by Jon Paul Janet,Heather J. Kulik Pdf

Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important

Machine Learning in Chemistry

Hugh M Cartwright
Machine Learning in Chemistry Book PDF

Author : Hugh M Cartwright
Publisher : Royal Society of Chemistry
Page : 564 pages
File Size : 55,5 Mb
Release : 2020-07-15
Category : Science
ISBN : 9781839160240

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Machine Learning in Chemistry by Hugh M Cartwright Pdf

Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.

Artificial Intelligence in Drug Discovery

Nathan Brown
Artificial Intelligence in Drug Discovery Book PDF

Author : Nathan Brown
Publisher : Royal Society of Chemistry
Page : 425 pages
File Size : 47,8 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9781839160547

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Artificial Intelligence in Drug Discovery by Nathan Brown Pdf

Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

Computational and Data-Driven Chemistry Using Artificial Intelligence

Takashiro Akitsu
Computational and Data Driven Chemistry Using Artificial Intelligence Book PDF

Author : Takashiro Akitsu
Publisher : Elsevier
Page : 280 pages
File Size : 47,7 Mb
Release : 2021-10-08
Category : Science
ISBN : 9780128232729

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Computational and Data-Driven Chemistry Using Artificial Intelligence by Takashiro Akitsu Pdf

Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors, and help researchers design or identify new structures, Artificial Intelligence (AI) holds huge potential to revolutionize the future of chemistry. Volume 1 explores the fundamental knowledge and current methods being used to apply AI across a whole host of chemistry applications. Drawing on the knowledge of its expert team of global contributors, the book offers fascinating insight into this rapidly developing field and serves as a great resource for all those interested in exploring the opportunities afforded by the intersection of chemistry and AI in their own work. Part 1 provides foundational information on AI in chemistry, with an introduction to the field and guidance on database usage and statistical analysis to help support newcomers to the field. Part 2 then goes on to discuss approaches currently used to address problems in broad areas such as computational and theoretical chemistry; materials, synthetic and medicinal chemistry; crystallography, analytical chemistry, and spectroscopy. Finally, potential future trends in the field are discussed. Provides an accessible introduction to the current state and future possibilities for AI in chemistry Explores how computational chemistry methods and approaches can both enhance and be enhanced by AI Highlights the interdisciplinary and broad applicability of AI tools across a wide range of chemistry fields

Applications of Machine Learning

Prashant Johri,Jitendra Kumar Verma,Sudip Paul
Applications of Machine Learning Book PDF

Author : Prashant Johri,Jitendra Kumar Verma,Sudip Paul
Publisher : Springer Nature
Page : 404 pages
File Size : 43,9 Mb
Release : 2020-05-04
Category : Technology & Engineering
ISBN : 9789811533570

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Applications of Machine Learning by Prashant Johri,Jitendra Kumar Verma,Sudip Paul Pdf

This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.

Machine Learning and Systems Engineering

Sio-Iong Ao,Burghard B. Rieger,Mahyar Amouzegar
Machine Learning and Systems Engineering Book PDF

Author : Sio-Iong Ao,Burghard B. Rieger,Mahyar Amouzegar
Publisher : Springer Science & Business Media
Page : 607 pages
File Size : 42,9 Mb
Release : 2010-10-05
Category : Technology & Engineering
ISBN : 9789048194193

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Machine Learning and Systems Engineering by Sio-Iong Ao,Burghard B. Rieger,Mahyar Amouzegar Pdf

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

Machine Learning for Engineers

Ryan G. McClarren
Machine Learning for Engineers Book PDF

Author : Ryan G. McClarren
Publisher : Springer Nature
Page : 252 pages
File Size : 47,7 Mb
Release : 2021-09-21
Category : Technology & Engineering
ISBN : 9783030703882

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Machine Learning for Engineers by Ryan G. McClarren Pdf

All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.

Chemical Engineering for Non-Chemical Engineers

Jack Hipple
Chemical Engineering for Non Chemical Engineers Book PDF

Author : Jack Hipple
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 49,8 Mb
Release : 2017-01-05
Category : Technology & Engineering
ISBN : 9781119309659

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Chemical Engineering for Non-Chemical Engineers by Jack Hipple Pdf

Outlines the concepts of chemical engineering so that non-chemical engineers can interface with and understand basic chemical engineering concepts Overviews the difference between laboratory and industrial scale practice of chemistry, consequences of mistakes, and approaches needed to scale a lab reaction process to an operating scale Covers basics of chemical reaction eningeering, mass, energy, and fluid energy balances, how economics are scaled, and the nature of various types of flow sheets and how they are developed vs. time of a project Details the basics of fluid flow and transport, how fluid flow is characterized and explains the difference between positive displacement and centrifugal pumps along with their limitations and safety aspects of these differences Reviews the importance and approaches to controlling chemical processes and the safety aspects of controlling chemical processes, Reviews the important chemical engineering design aspects of unit operations including distillation, absorption and stripping, adsorption, evaporation and crystallization, drying and solids handling, polymer manufacture, and the basics of tank and agitation system design

Data Science in Chemistry

Thorsten Gressling
Data Science in Chemistry Book PDF

Author : Thorsten Gressling
Publisher : Walter de Gruyter GmbH & Co KG
Page : 540 pages
File Size : 49,9 Mb
Release : 2020-11-23
Category : Technology & Engineering
ISBN : 9783110629453

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Data Science in Chemistry by Thorsten Gressling Pdf

The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity – data science – includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.

Artificial Intelligence

Marco Antonio Aceves-Fernandez
Artificial Intelligence Book PDF

Author : Marco Antonio Aceves-Fernandez
Publisher : BoD – Books on Demand
Page : 466 pages
File Size : 45,7 Mb
Release : 2018-06-27
Category : Computers
ISBN : 9781789233643

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Artificial Intelligence by Marco Antonio Aceves-Fernandez Pdf

Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie
Applications of Artificial Intelligence Techniques in the Petroleum Industry Book PDF

Author : Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie
Publisher : Gulf Professional Publishing
Page : 324 pages
File Size : 48,6 Mb
Release : 2020-08-26
Category : Science
ISBN : 9780128223857

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Applications of Artificial Intelligence Techniques in the Petroleum Industry by Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie Pdf

Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input