Artificial Neural Networks  Models And Applications

Author : Joao Luis Garcia Rosa
Publisher : BoD – Books on Demand
Page : 416 pages
File Size : 40,6 Mb
Release : 2016-10-19
Category : Computers
ISBN : 9789535127048

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Artificial Neural Networks by Joao Luis Garcia Rosa Pdf

The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.

Author : Stephen W. Ellacott,John C. Mason,Iain J. Anderson
Publisher : Springer Science & Business Media
Page : 423 pages
File Size : 52,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461560999

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Mathematics of Neural Networks by Stephen W. Ellacott,John C. Mason,Iain J. Anderson Pdf

This volume of research papers comprises the proceedings of the first International Conference on Mathematics of Neural Networks and Applications (MANNA), which was held at Lady Margaret Hall, Oxford from July 3rd to 7th, 1995 and attended by 116 people. The meeting was strongly supported and, in addition to a stimulating academic programme, it featured a delightful venue, excellent food and accommo dation, a full social programme and fine weather - all of which made for a very enjoyable week. This was the first meeting with this title and it was run under the auspices of the Universities of Huddersfield and Brighton, with sponsorship from the US Air Force (European Office of Aerospace Research and Development) and the London Math ematical Society. This enabled a very interesting and wide-ranging conference pro gramme to be offered. We sincerely thank all these organisations, USAF-EOARD, LMS, and Universities of Huddersfield and Brighton for their invaluable support. The conference organisers were John Mason (Huddersfield) and Steve Ellacott (Brighton), supported by a programme committee consisting of Nigel Allinson (UMIST), Norman Biggs (London School of Economics), Chris Bishop (Aston), David Lowe (Aston), Patrick Parks (Oxford), John Taylor (King's College, Lon don) and Kevin Warwick (Reading). The local organiser from Huddersfield was Ros Hawkins, who took responsibility for much of the administration with great efficiency and energy. The Lady Margaret Hall organisation was led by their bursar, Jeanette Griffiths, who ensured that the week was very smoothly run.

Author : Simone Bassis,Anna Esposito,Francesco Carlo Morabito
Publisher : Springer Science & Business Media
Page : 436 pages
File Size : 40,6 Mb
Release : 2013-12-19
Category : Technology & Engineering
ISBN : 9783319041292

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Recent Advances of Neural Network Models and Applications by Simone Bassis,Anna Esposito,Francesco Carlo Morabito Pdf

This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in two main components, a special session and a group of regular sessions featuring different aspects and point of views of artificial neural networks, artificial and natural intelligence, as well as psychological and cognitive theories for modeling human behaviors and human machine interactions, including Information Communication applications of compelling interest.

Author : Wlodzislaw Duch,Erkki Oja,Slawomir Zadrozny
Publisher : Springer
Page : 1045 pages
File Size : 41,5 Mb
Release : 2005-08-25
Category : Computers
ISBN : 9783540287568

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Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 by Wlodzislaw Duch,Erkki Oja,Slawomir Zadrozny Pdf

This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

Author : Adel El-Shahat
Publisher : BoD – Books on Demand
Page : 298 pages
File Size : 53,8 Mb
Release : 2018-02-28
Category : Computers
ISBN : 9789535137801

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Advanced Applications for Artificial Neural Networks by Adel El-Shahat Pdf

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.

Author : Zhang, Ming
Publisher : IGI Global
Page : 540 pages
File Size : 48,7 Mb
Release : 2021-02-05
Category : Computers
ISBN : 9781799835653

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks by Zhang, Ming Pdf

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research.

Author : Xingui He,Shaohua Xu
Publisher : Springer Science & Business Media
Page : 240 pages
File Size : 42,5 Mb
Release : 2010-07-05
Category : Computers
ISBN : 9783540737629

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Process Neural Networks by Xingui He,Shaohua Xu Pdf

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 : Doug Alexander
Publisher : Nova Science Publishers
Page : 232 pages
File Size : 53,7 Mb
Release : 2020
Category : Neural networks (Computer science)
ISBN : 1536171883

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Neural Networks by Doug Alexander Pdf

Artificial neural networks, concept, application and types / M. Khishe and Gh. R. Parvizi, Department of Electronic Engineering, Imam Khomeini University of Naval Science, Nowshahr, Iran, and others -- Emotion recognition from facial expressions using artificial neural networks : A review / Sibel Senan, Zeynep Orman and Fulya Akcan, Department of Computer Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey -- Dipole mode index prediction with artificial neural networks / Kalpesh R. Patil and Masaaki Iiyama, Post-Doctorate Research Scholar, Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan, and others.

Author : Tang
Publisher : Unknown
Page : 322 pages
File Size : 49,6 Mb
Release : 2009-10-01
Category : Electronic
ISBN : 8184894368

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Neural Networks: Computational Models And Applications by Tang Pdf

Author : Gérard Dreyfus
Publisher : Springer Science & Business Media
Page : 509 pages
File Size : 47,6 Mb
Release : 2005-11-25
Category : Science
ISBN : 9783540288473

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Neural Networks by Gérard Dreyfus Pdf

Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.

Author : I M Mujtaba,M A Hussain
Publisher : World Scientific
Page : 424 pages
File Size : 41,6 Mb
Release : 2001-04-02
Category : Computers
ISBN : 9781783261482

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Application of Neural Networks and Other Learning Technologies in Process Engineering by I M Mujtaba,M A Hussain Pdf

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. Contents:Modelling and IdentificationHybrid SchemesEstimations and ControlNew Learning TechnologiesExperimental and Industrial Applications Readership: Academic and industrial researchers, chemical engineers and control engineers. Keywords:Modelling;Hybrid Schemes;Technologies;Industrial Applications

Author : Kishan Mehrotra,Chilukuri K. Mohan,Sanjay Ranka
Publisher : MIT Press
Page : 376 pages
File Size : 54,6 Mb
Release : 1997
Category : Computers
ISBN : 0262133288

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Elements of Artificial Neural Networks by Kishan Mehrotra,Chilukuri K. Mohan,Sanjay Ranka Pdf

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.

Author : Wlodzislaw Duch
Publisher : Springer Science & Business Media
Page : 1051 pages
File Size : 41,5 Mb
Release : 2005-08-31
Category : Computers
ISBN : 9783540287551

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Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 by Wlodzislaw Duch Pdf

The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.

Author : Bill Edisbury
Publisher : World Scientific
Page : 222 pages
File Size : 49,9 Mb
Release : 2000
Category : Business & Economics
ISBN : 9789812813312

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Business Applications of Neural Networks by Bill Edisbury Pdf

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 is a review of the state-of-the-art in 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 : Claudio Turchetti
Publisher : IOS Press
Page : 202 pages
File Size : 46,5 Mb
Release : 2004
Category : Neural networks (Computer science)
ISBN : 4274906264

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Stochastic Models of Neural Networks by Claudio Turchetti Pdf