Neural Networks in Design and Manufacturing
| Author | : Jun Wang |
| Publisher | : World Scientific Publishing Company Incorporated |
| Total Pages | : 292 |
| Release | : 1993-01-01 |
| Genre | : Computers |
| ISBN | : 9789810212810 |
Neural Networks In Design And Manufacturing
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Neural Networks In Design And Manufacturing
| Author | : Yoshiyasu Takefuji |
| Publisher | : World Scientific |
| Total Pages | : 319 |
| Release | : 1993-10-29 |
| Genre | : Computers |
| ISBN | : 9814504564 |
Over the past few years, there has been a surge of research activities on artificial neural networks. Although the thrust originally came from computer scientists and electrical engineers, neural network research has recently attracted researchers in the fields of operations research, operations management and industrial engineering.Despite the huge volume of recent publications devoted to neural network research, there is no single monograph addressing the potential roles of artificial neural networks for design and manufacturing.The focus of this book is on the applications of neural network concepts and techniques to design and manufacturing. This book reviews the state-of-the-art of the research activities, highlights the recent advances in research and development, and discusses the potential directions and future trends along this stream of research.The potential readers of this book will include, but are not limited to, beginners, professionals and practitioners in industries who are applying neural networks to design and manufacturing.The topics include conceptual design, group technology, process planning and scheduling, process monitoring and others.
Artificial Neural Networks in Finance and Manufacturing
| Author | : Kamruzzaman, Joarder |
| Publisher | : IGI Global |
| Total Pages | : 299 |
| Release | : 2006-03-31 |
| Genre | : Computers |
| ISBN | : 1591406722 |
"This book presents a variety of practical applications of neural networks in two important domains of economic activity: finance and manufacturing"--Provided by publisher.
Design and Implementation of Intelligent Manufacturing Systems
| Author | : Mohammed Jamshidi |
| Publisher | : Pearson Education |
| Total Pages | : 451 |
| Release | : 1995-05-24 |
| Genre | : Technology & Engineering |
| ISBN | : 0132442078 |
The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.
Application Of Neural Networks And Other Learning Technologies In Process Engineering
| Author | : M A Hussain |
| Publisher | : World Scientific |
| Total Pages | : 423 |
| Release | : 2001-04-02 |
| Genre | : Computers |
| ISBN | : 178326148X |
This book is a follow-up to the IChemE symposium on “Neural Networks and Other Learning Technologies”, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems — modelling, estimation, control, optimisation and industrial applications.
Advanced Applications for Artificial Neural Networks
| Author | : Adel El-Shahat |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 298 |
| Release | : 2018-02-28 |
| Genre | : Computers |
| ISBN | : 9535137808 |
In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.
Handbook of Intelligent Computing and Optimization for Sustainable Development
| Author | : Mukhdeep Singh Manshahia |
| Publisher | : John Wiley & Sons |
| Total Pages | : 944 |
| Release | : 2022-02-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1119792622 |
HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.
Neural Network Design
| Author | : Martin T. Hagan |
| Publisher | : |
| Total Pages | : |
| Release | : 2003 |
| Genre | : Neural networks (Computer science) |
| ISBN | : 9789812403766 |
Artificial Neural Networks for Intelligent Manufacturing
| Author | : C.H. Dagli |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 474 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9401107130 |
The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.
Composite Materials Technology
| Author | : S.M. Sapuan |
| Publisher | : CRC Press |
| Total Pages | : 372 |
| Release | : 2009-12-23 |
| Genre | : Mathematics |
| ISBN | : 1420093339 |
Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amount of published literature on the subject.Compiling in
