Soft Computing Techniques And Applications In Mechanical Engineering
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Application Of Soft Computing Techniques In Mechanical Engineering
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Author : Amar Patnaik
language : en
Publisher: CRC Press
Release Date : 2022-12-14
Application Of Soft Computing Techniques In Mechanical Engineering written by Amar Patnaik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Technology & Engineering categories.
This text covers the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of mechanical engineering. It covers important topics including computational fluid dynamics for advanced thermal systems, optimizing performance parameters by Fuzzy logic, design of experiments, numerical simulation, and optimizing flow network by artificial intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, computer, mechanical, and materials science. The book- Introduces novel soft computing techniques needed to address sustainable solutions for the issues related to materials and manufacturing process. Provides perspectives for the design, development, and commissioning of intelligent applications. Discusses the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable engineering. Explores future generation sustainable and intelligent monitoring techniques beneficial for mechanical engineering. Covers implementation of soft computing in the various areas of engineering applications. This book introduces soft computing techniques in addressing sustainable solutions for the issues related to materials and manufacturing process. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, thermal, fluid, and materials science.
Soft Computing Techniques And Applications In Mechanical Engineering
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Author : Ram, Mangey
language : en
Publisher: IGI Global
Release Date : 2017-12-29
Soft Computing Techniques And Applications In Mechanical Engineering written by Ram, Mangey and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-29 with Technology & Engineering categories.
The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in a variety of fields. In particular, these concepts have created significant developments in the engineering field. Soft Computing Techniques and Applications in Mechanical Engineering is a pivotal reference source for the latest research findings on a comprehensive range of soft computing techniques applied in various fields of mechanical engineering. Featuring extensive coverage on relevant areas such as thermodynamics, fuzzy computing, and computational intelligence, this publication is an ideal resource for students, engineers, research scientists, and academicians involved in soft computing techniques and applications in mechanical engineering areas.
Advanced Soft Computing Techniques In Data Science Iot And Cloud Computing
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Author : Sujata Dash
language : en
Publisher: Springer Nature
Release Date : 2021-11-05
Advanced Soft Computing Techniques In Data Science Iot And Cloud Computing written by Sujata Dash and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Technology & Engineering categories.
This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. However, recent advancements in representation soft computing algorithms (fuzzy logic,evolutionary computation, machine learning, and probabilistic reasoning) generate a more intelligent and robust system providing a human interpretable, low-cost, approximate solution. Soft computing-based algorithms have demonstrated great performance to a variety of areas including multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, biomedical and health informatics, etc. Soft computing approaches such as genetic programming (GP), support vector machine–firefly algorithm (SVM-FFA), artificial neural network (ANN), and support vector machine–wavelet (SVM–Wavelet) have emerged as powerful computational models. These have also shown significant success in dealing with massive data analysis for large number of applications. All the researchers and practitioners will be highly benefited those who are working in field of computer engineering, medicine, biology application, signal processing, and mechanical engineering. This book is a good collection of state-of-the-art approaches for soft computing-based applications to various engineering fields. It is very beneficial for the new researchers and practitioners working in the field to quickly know the best performing methods. They would be able to compare different approaches and can carry forward their research in the most important area of research which has direct impact on betterment of the human life and health. This book is very useful because there is no book in the market which provides a good collection of state-of-the-art methods of soft computing-based models for multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, and biomedical and health informatics.
Soft Computing In Smart Manufacturing
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Author : Tatjana Sibalija
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-12-06
Soft Computing In Smart Manufacturing written by Tatjana Sibalija and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Technology & Engineering categories.
This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.
Machine Learning And Mechanics Based Soft Computing Applications
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Author : Thi Dieu Linh Nguyen
language : en
Publisher: Springer Nature
Release Date : 2023-03-01
Machine Learning And Mechanics Based Soft Computing Applications written by Thi Dieu Linh Nguyen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Technology & Engineering categories.
This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work. The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications. With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas.
Soft Computing In The Design And Manufacturing Of Composite Materials
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Author : Dragan Aleksendric
language : en
Publisher: Woodhead Publishing
Release Date : 2015-01-23
Soft Computing In The Design And Manufacturing Of Composite Materials written by Dragan Aleksendric and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-23 with Technology & Engineering categories.
Due to problems associated with the design and manufacturing of composite materials, there is a need to introduce computational and intelligent systems engineering methodology in materials engineering. Soft Computing in the Design and Manufacturing of Composite Material offers an intelligent approach to advance material engineering, and significantly improves the process of designing and manufacturing a new material. This title includes chapters covering topics such as soft computing techniques, composite materials engineering, design and manufacturing of composite materials, numerical modeling, prediction, and optimization of the composite materials performance, development of the hybrid models, and control of the composite material performance. Introduction of soft computing in the composite materials engineering Includes accurate and detailed analysis of the current state of the art in the field Development of the intelligent models for design and manufacturing of composite material Details composite material performance prediction Optimization of the manufacturing process of composite materials
Soft Computing Techniques For Engineering Optimization
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Author : Kaushik Kumar
language : en
Publisher: CRC Press
Release Date : 2019-02-21
Soft Computing Techniques For Engineering Optimization written by Kaushik Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Mathematics categories.
This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems
Soft Computing And Intelligent Systems Design
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Author : Fakhreddine O. Karray
language : en
Publisher: Addison Wesley Longman
Release Date : 2004
Soft Computing And Intelligent Systems Design written by Fakhreddine O. Karray and has been published by Addison Wesley Longman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.
Application Of Soft Computing Techniques In Mechanical Engineering
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Author : Amar Patnaik
language : en
Publisher: CRC Press
Release Date : 2022-12-14
Application Of Soft Computing Techniques In Mechanical Engineering written by Amar Patnaik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Technology & Engineering categories.
This text covers the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of mechanical engineering. It covers important topics including computational fluid dynamics for advanced thermal systems, optimizing performance parameters by Fuzzy logic, design of experiments, numerical simulation, and optimizing flow network by artificial intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, computer, mechanical, and materials science. The book- Introduces novel soft computing techniques needed to address sustainable solutions for the issues related to materials and manufacturing process. Provides perspectives for the design, development, and commissioning of intelligent applications. Discusses the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable engineering. Explores future generation sustainable and intelligent monitoring techniques beneficial for mechanical engineering. Covers implementation of soft computing in the various areas of engineering applications. This book introduces soft computing techniques in addressing sustainable solutions for the issues related to materials and manufacturing process. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, thermal, fluid, and materials science.
Practical Applications Of Soft Computing In Engineering
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Author : Sung-bae Cho
language : en
Publisher: World Scientific
Release Date : 2001-01-19
Practical Applications Of Soft Computing In Engineering written by Sung-bae Cho and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-19 with Computers categories.
Soft computing has been presented not only with the theoretical developments but also with a large variety of realistic applications to consumer products and industrial systems. Application of soft computing has provided the opportunity to integrate human-like vagueness and real-life uncertainty into an otherwise hard computer program.This book highlights some of the recent developments in practical applications of soft computing in engineering problems. All the chapters have been sophisticatedly designed and revised by international experts to achieve wide but in-depth coverage.