Artificial Neural Networks In Real Life Applications

Author : Juan Ramon Rabunal
Publisher : IGI Global
ISBN 13 : 1591409020
Total Pages : 395 pages
Book Rating : 4.21/5 ( download)

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Download or read book Artificial Neural Networks in Real-life Applications written by Juan Ramon Rabunal and published by IGI Global. This book was released on 2006-01-01 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.

Author : Alan Murray
Publisher : Springer Science & Business Media
ISBN 13 : 1475723792
Total Pages : 324 pages
Book Rating : 4.93/5 ( download)

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Download or read book Applications of Neural Networks written by Alan Murray and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'. For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

Author : Kevin Swingler
Publisher : Morgan Kaufmann
ISBN 13 : 9780126791709
Total Pages : 348 pages
Book Rating : 4.08/5 ( download)

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Download or read book Applying Neural Networks written by Kevin Swingler and published by Morgan Kaufmann. This book was released on 1996 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to enable the reader to design and run a neural network-based project. It presents everything the reader will need to know to ensure the success of such a project. The book contains a free disk with C and C++ programs, which implement many of the techniques discussed in the book.

Author : Alma Y. Alanis
Publisher : Academic Press
ISBN 13 : 0128182474
Total Pages : 176 pages
Book Rating : 4.75/5 ( download)

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Download or read book Artificial Neural Networks for Engineering Applications written by Alma Y. Alanis and published by Academic Press. This book was released on 2019-03-15 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications. Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering Contains all the theory required to use the proposed methodologies for different applications

Author : Xingui He
Publisher : Springer Science & Business Media
ISBN 13 : 3540737626
Total Pages : 240 pages
Book Rating : 4.29/5 ( download)

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Download or read book Process Neural Networks written by Xingui He and published by Springer Science & Business Media. This book was released on 2010-07-05 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Shamshad Ansari
Publisher : Apress
ISBN 13 : 9781484258866
Total Pages : 451 pages
Book Rating : 4.6X/5 ( download)

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Download or read book Building Computer Vision Applications Using Artificial Neural Networks written by Shamshad Ansari and published by Apress. This book was released on 2020-07-17 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply computer vision and machine learning concepts in developing business and industrial applications ​using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section 1 covers the basics of image and video processing with code examples of how to manipulate and extract useful information from the images. You will mainly use OpenCV with Python to work with examples in this section. Section 2 describes machine learning and neural network concepts as applied to computer vision. You will learn different algorithms of the neural network, such as convolutional neural network (CNN), region-based convolutional neural network (R-CNN), and YOLO. In this section, you will also learn how to train, tune, and manage neural networks for computer vision. Section 3 provides step-by-step examples of developing business and industrial applications, such as facial recognition in video surveillance and surface defect detection in manufacturing. The final section is about training neural networks involving a large number of images on cloud infrastructure, such as Amazon AWS, Google Cloud Platform, and Microsoft Azure. It walks you through the process of training distributed neural networks for computer vision on GPU-based cloud infrastructure. By the time you finish reading Building Computer Vision Applications Using Artificial Neural Networks and working through the code examples, you will have developed some real-world use cases of computer vision with deep learning. What You Will Learn · Employ image processing, manipulation, and feature extraction techniques · Work with various deep learning algorithms for computer vision · Train, manage, and tune hyperparameters of CNNs and object detection models, such as R-CNN, SSD, and YOLO · Build neural network models using Keras and TensorFlow · Discover best practices when implementing computer vision applications in business and industry · Train distributed models on GPU-based cloud infrastructure Who This Book Is For Data scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge.

Author : Paulo J. G. Lisboa
Publisher : World Scientific
ISBN 13 : 9810240899
Total Pages : 222 pages
Book Rating : 4.99/5 ( download)

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Download or read book Business Applications of Neural Networks written by Paulo J. G. Lisboa and published by World Scientific. This book was released on 2000 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests -- from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise. This book reviews the state-of-the-art in current applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.

Author : Patel, Hiral Ashil
Publisher : IGI Global
ISBN 13 : 1799840433
Total Pages : 315 pages
Book Rating : 4.35/5 ( download)

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Download or read book Applications of Artificial Neural Networks for Nonlinear Data written by Patel, Hiral Ashil and published by IGI Global. This book was released on 2020-09-25 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.

Author : Leo P. J. Veelenturf
Publisher :
ISBN 13 :
Total Pages : 284 pages
Book Rating : 4.59/5 ( download)

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Download or read book Analysis and Applications of Artificial Neural Networks written by Leo P. J. Veelenturf and published by . This book was released on 1995 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an analysis of the behaviour of the three types of neural networks: the binary perceptron, the continuous perceptron and the self-organizing neural network. Analysis is largely mathematical but concepts are also explained through practical examples.

Author : Do, Quang Hung
Publisher : IGI Global
ISBN 13 : 1799832406
Total Pages : 275 pages
Book Rating : 4.09/5 ( download)

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Download or read book Artificial Neural Network Applications in Business and Engineering written by Do, Quang Hung and published by IGI Global. This book was released on 2021-01-08 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.