Industrial Applications of Neural Networks

A NEURAL NETWORK APPLICATION ON ROBOTICS FOR THE FOOD INDUSTRY J. López - Coronado , F. Díaz - Pernas , F. Díez - Higuera Department of Systems Engineering and Control , University of Valladolid , Real de Burgos S / N , 47011 Valladolid ...

Author: Fran‡oise Fogelman-Souli‚

Publisher: World Scientific

ISBN: 9789810231750

Category: Computers

Page: 469

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This book is a collection of real-world applications of neural networks, which were presented at the ICANN '95 conference of the European Neural Network Society. The contributions have been carefully selected by the Program Committee under three criteria: soundness of the technical approach, relevance for the application sector, and quality of the results obtained.The book covers all major areas of industrial and service activities: process engineering, control and monitoring, technical diagnosis and nondestructive testing, power systems, robotics, transportation, telecommunications, remote sensing, banking, finance and insurance, forecasting, document processing, and medicine. It thus represents one of the most comprehensive existing surveys of the applicability and use of neural networks in industry and services.

Industrial Applications of Neural Networks

The research project , Chip in the Brain , which is working on replacing the impaired brain cells or a part of the brain with artificial neural network chips , is going on very well here at the Center of Neural Engineering , University ...

Author: Lakhmi C. Jain

Publisher: CRC Press

ISBN: 9780849398025

Category: Computers

Page: 344

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Industrial Applications of Neural Networks explores the success of neural networks in different areas of engineering endeavors. Each chapter shows how the power of neural networks can be exploited in modern engineering applications. The first seven chapters focus on image processing as well as industrial or manufacturing perspectives. Topics discussed include: shape recognition shape from shading aircraft detection in SAR images visualization of high-dimensional data bases of industrial systems 3-D object learning and recognition from multiple 2-D views fingerprint classification performance optimization in flexible manufacturing systems The remaining chapters address issues and applications in the expansive area of multimedia communications as well as mobile and cellular communications.

Industrial Applications of Neural Networks

manufacturing industry in the European Community through an unbiased assessment of their merit in truly industrial environments. Neural network architectures are based on ideas derived from many years of research into the way in which ...

Author: Ian F. Croall

Publisher: Springer Science & Business Media

ISBN: 3642848370

Category: Computers

Page: 297

View: 934

Neural network technology encompasses a class of methods which attempt to mimic the basic structures used in the brain for information processing. Thetechnology is aimed at problems such as pattern recognition which are difficult for traditional computational methods. Neural networks have potential applications in many industrial areas such as advanced robotics, operations research, and process engineering. This book is concerned with the application of neural network technology to real industrial problems. It summarizes a three-year collaborative international project called ANNIE (Applications of Neural Networks for Industry in Europe) which was jointly funded by industry and the European Commission within the ESPRIT programme. As a record of a working project, the book gives an insight into the real problems faced in taking a new technology from the workbench into a live industrial application, and shows just how it can be achieved. It stresses the comparison between neural networks and conventional approaches. Even the non-specialist reader will benefit from understanding the limitations as well as the advantages of the new technology.

Neural Networks for Instrumentation Measurement and Related Industrial Applications

Case studies : neural networks for instrumentation and measurement systems in robotic applications in research and industry In this section we look in detail at two case studies applications of neural networks for instrumentation and ...


Publisher: IOS Press

ISBN: 9781586033033

Category: Electronic books

Page: 329

View: 131

Adaptive Control with Recurrent High order Neural Networks

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering.

Author: George A. Rovithakis

Publisher: Springer Science & Business Media

ISBN: 1447107853

Category: Computers

Page: 196

View: 565

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling.

Neural Networks Artificial Intelligence and Industrial Applications

The scientific track is entitled Neural Networks and Artificial Intelligence. The term “Artificial Intelligence” is often associated with “traditional AI” methodology. Here it is used in its literal sense, indicating the problem to ...

Author: Bert Kappen

Publisher: Springer Science & Business Media

ISBN: 1447130871

Category: Computers

Page: 398

View: 116

Neural networks is a field of research which has enjoyed rapid expansion in both the academic and industrial research communities. This volume contains papers presented at the Third Annual SNN Symposium on Neural Networks to be held in Nijmegen, The Netherlands, 14 - 15 September 1995. The papers are divided into two sections: the first gives an overview of new developments in neurobiology, the cognitive sciences, robotics, vision and data modelling. The second presents working neural network solutions to real industrial problems, including process control, finance and marketing. The resulting volume gives a comprehensive view of the state of the art in 1995 and will provide essential reading for postgraduate students and academic/industrial researchers.

Applications of Neural Networks in High Assurance Systems

Typical applications include function approximation, pattern recognition, image recognition, AI applications, and control. Over the past decades, applications of neural networks have emerged in many industrial fields, ...

Author: Johann M.Ph. Schumann

Publisher: Springer

ISBN: 3642106900

Category: Technology & Engineering

Page: 248

View: 610

"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.

Industrial Applications of Machine Learning

Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial ...

Author: Pedro Larrañaga

Publisher: CRC Press

ISBN: 1351128361

Category: Business & Economics

Page: 336

View: 860

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka

Application of Neural Networks and Other Learning Technologies in Process Engineering

... and in industrial applications), and particle accelerator control (Standford Linear Accelerator Center). Unlike their linear counterparts, nonlinear neural networks have found commercial applications only recently.

Author: I. M. Mujtaba

Publisher: World Scientific

ISBN: 1860942636

Category: Technology & Engineering

Page: 405

View: 979

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.

Industrial Applications of Neural Networks Research Reports ESPRIT Project 2092 ANNIE Volume 1






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