Parallel Implementation Of An Artificial Neural Network Integrated Feature And Architecture Selection Algorithm

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Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm

Craig W. Rizzo
Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm Book PDF

Author : Craig W. Rizzo
Publisher : Unknown
Page : 77 pages
File Size : 42,7 Mb
Release : 1998-03-01
Category : Neural networks (Computer science)
ISBN : 142356278X

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Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm by Craig W. Rizzo Pdf

The selection of salient features and an appropriate hidden layer architecture contributes significantly to the performance of a neural network. A number of metrics and methodologies exist for estimating these parameters. This research builds on recent efforts to integrate feature and architecture selection for the multilayer perceptron. In the first stage of work a current algorithm is developed in a parallel environment, significantly improving its efficiency and utility. In the second stage, improvements to the algorithm are proposed. With regards to feature selection, a common random number (CRN) addition is proposed. Two new methods of architecture selection are examined, to include an information criterion and a signal to noise based procedure. These methodologies are shown to improve algorithm performance.

Parallel Architectures for Artificial Neural Networks

N. Sundararajan,P. Saratchandran
Parallel Architectures for Artificial Neural Networks Book PDF

Author : N. Sundararajan,P. Saratchandran
Publisher : Wiley-IEEE Computer Society Press
Page : 424 pages
File Size : 46,6 Mb
Release : 1998-12-14
Category : Computers
ISBN : UOM:39015046908375

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Parallel Architectures for Artificial Neural Networks by N. Sundararajan,P. Saratchandran Pdf

An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machine. Working experts describe their implementation research including results that are then divided into three sections: The theoretical analysis of parallel implementation schemes on MIMD message passing machines The details of parallel implementation of BP neural networks on general purpose, large, parallel computers Four specific purpose parallel neural computer configuration Aimed at graduate students and researchers working in artificial neural networks and parallel computing this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation. Practitioners will also find the text an ideal reference tool for lucid mathematical analyses.

Big Data Analytics: Systems, Algorithms, Applications

C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,Aditya Mogadala,Rohit Ghosh,L.M. Jenila Livingston
Big Data Analytics Systems Algorithms Applications Book PDF

Author : C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,Aditya Mogadala,Rohit Ghosh,L.M. Jenila Livingston
Publisher : Springer Nature
Page : 412 pages
File Size : 40,6 Mb
Release : 2019-10-14
Category : Computers
ISBN : 9789811500947

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Big Data Analytics: Systems, Algorithms, Applications by C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,Aditya Mogadala,Rohit Ghosh,L.M. Jenila Livingston Pdf

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.

Neural Networks and Systolic Array Design

Sankar K. Pal,David Zhang
Neural Networks and Systolic Array Design Book PDF

Author : Sankar K. Pal,David Zhang
Publisher : World Scientific
Page : 421 pages
File Size : 48,5 Mb
Release : 2002
Category : Computers
ISBN : 9789812778086

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Neural Networks and Systolic Array Design by Sankar K. Pal,David Zhang Pdf

Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

Parallel Architectures And Neural Networks: Fourth Italian Workshop

E R Caianiello
Parallel Architectures And Neural Networks Fourth Italian Workshop Book PDF

Author : E R Caianiello
Publisher : World Scientific
Page : 396 pages
File Size : 50,7 Mb
Release : 1991-11-12
Category : Electronic
ISBN : 9789814555784

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Parallel Architectures And Neural Networks: Fourth Italian Workshop by E R Caianiello Pdf

Organized and supported by IIASS and other Italian institutions, this Workshop in Vietri sul Mare has now become a permanent annual event. The aim is to foster closer links among all groups and individuals working in Europe in this inter- and multi-disciplinary area. Topics cover models, architectures and applications.

Artificial Intelligence and Neural Networks

Vasant Honavar,Leonard Merrick Uhr
Artificial Intelligence and Neural Networks Book PDF

Author : Vasant Honavar,Leonard Merrick Uhr
Publisher : Unknown
Page : 696 pages
File Size : 45,5 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015017433254

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Artificial Intelligence and Neural Networks by Vasant Honavar,Leonard Merrick Uhr Pdf

A growing body of research focuses on how the strengths of traditional artificial intelligence and neural networks can be incorporated into systems that include the best features of both. Artificial Intelligence and Neural Networks: Steps toward Principled Integration provides readers with a critical examination of the key issues, underlying assumptions, and relevant suggestions related to the reconciliation and principled integration of artificial intelligence and neural networks into successful hybrid systems. A comprehensive introduction to the basics of symbol processing and connectionist networks, and their integration gives readers the necessary background to understand each network system. Numerous examples of the integration of artificial and neural networks for a variety of specific applications, including vision and pattern recognition, illustrate the exciting possibilities and actualities of the resultant hybrid systems. With contribution from some of the leading researchers in the field, this book offers a unique view into this evolving area. -- Back cover.

Systems Analytics and Integration of Big Omics Data

Gary Hardiman
Systems Analytics and Integration of Big Omics Data Book PDF

Author : Gary Hardiman
Publisher : MDPI
Page : 202 pages
File Size : 53,8 Mb
Release : 2020-04-15
Category : Science
ISBN : 9783039287444

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Systems Analytics and Integration of Big Omics Data by Gary Hardiman Pdf

A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Distributed Computing and Artificial Intelligence, 13th International Conference

Sigeru Omatu,Ali Semalat,Grzegorz Bocewicz,Paweł Sitek,Izabela E. Nielsen,Julián A. García García,Javier Bajo
Distributed Computing and Artificial Intelligence 13th International Conference Book PDF

Author : Sigeru Omatu,Ali Semalat,Grzegorz Bocewicz,Paweł Sitek,Izabela E. Nielsen,Julián A. García García,Javier Bajo
Publisher : Springer
Page : 567 pages
File Size : 46,6 Mb
Release : 2016-05-31
Category : Technology & Engineering
ISBN : 9783319401621

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Distributed Computing and Artificial Intelligence, 13th International Conference by Sigeru Omatu,Ali Semalat,Grzegorz Bocewicz,Paweł Sitek,Izabela E. Nielsen,Julián A. García García,Javier Bajo Pdf

The 13th International Symposium on Distributed Computing and Artificial Intelligence 2016 (DCAI 2016) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Sevilla (Spain), Osaka Institute of Technology (Japan), and the Universiti Teknologi Malaysia (Malaysia)

Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders

M. Murugappan,Yuvaraj Rajamanickam
Biomedical Signals Based Computer Aided Diagnosis for Neurological Disorders Book PDF

Author : M. Murugappan,Yuvaraj Rajamanickam
Publisher : Springer Nature
Page : 295 pages
File Size : 43,8 Mb
Release : 2022-06-17
Category : Technology & Engineering
ISBN : 9783030978457

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Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders by M. Murugappan,Yuvaraj Rajamanickam Pdf

Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

Image and Graphics Technologies and Applications

Yongtian Wang,Zhiguo Jiang,Yuxin Peng
Image and Graphics Technologies and Applications Book PDF

Author : Yongtian Wang,Zhiguo Jiang,Yuxin Peng
Publisher : Springer
Page : 659 pages
File Size : 47,5 Mb
Release : 2018-08-11
Category : Computers
ISBN : 9789811317026

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Image and Graphics Technologies and Applications by Yongtian Wang,Zhiguo Jiang,Yuxin Peng Pdf

This book constitutes the refereed proceedings of the 13th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2018, held in Beijing, China in April, 2018. The 64 papers presented were carefully reviewed and selected from 138 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR; as well as image technology applications.

Pattern Recognition and Machine Intelligence

Sanghamitra Bandyopadhyay
Pattern Recognition and Machine Intelligence Book PDF

Author : Sanghamitra Bandyopadhyay
Publisher : Springer Science & Business Media
Page : 831 pages
File Size : 43,6 Mb
Release : 2005-12-09
Category : Computers
ISBN : 9783540305064

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Pattern Recognition and Machine Intelligence by Sanghamitra Bandyopadhyay Pdf

This book constitutes the refereed proceedings of the First International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, held in Kolkata, India in December 2005. The 108 revised papers presented together with 6 keynote talks and 14 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on clustering, feature selection and learning, classification, neural networks and applications, fuzzy logic and applications, optimization and representation, image processing and analysis, video processing and computer vision, image retrieval and data mining, bioinformatics application, Web intelligence and genetic algorithms, as well as rough sets, case-based reasoning and knowledge discovery.

Neural and Intelligent Systems Integration

Branko Souek,The IRIS Group
Neural and Intelligent Systems Integration Book PDF

Author : Branko Souek,The IRIS Group
Publisher : Wiley-Interscience
Page : 696 pages
File Size : 49,7 Mb
Release : 1991-11-11
Category : Computers
ISBN : UOM:39015024806526

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Neural and Intelligent Systems Integration by Branko Souek,The IRIS Group Pdf

Combines new techniques of software automation, system adaptation, module selection, self-organization and automated discovery. Presents results from the IRIS Group--findings from American, European, Korean and Japanese projects on this emerging discipline. Explores methods of combining well-defined intelligent modules for integration into intelligent systems. Modules include intelligent algorithms and programs, neural networks and computing elements, fuzzy data comparators and correlators, spare distributed memories, expert systems, intelligent databases, associative and parallel processing units, and data acquisition, control and robot units.

Parallel Digital Implementations of Neural Networks

K. Wojtek Przytula,V. K. Prasanna Kumar
Parallel Digital Implementations of Neural Networks Book PDF

Author : K. Wojtek Przytula,V. K. Prasanna Kumar
Publisher : Prentice Hall
Page : 346 pages
File Size : 47,7 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015032742614

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Parallel Digital Implementations of Neural Networks by K. Wojtek Przytula,V. K. Prasanna Kumar Pdf

Explores issues related to implementing artificial neural networks on programmable, massively parallel computers, and special purpose digital, programmable VLSI architectures. The nine contributions cover mapping methodologies and implementations, digital neurocomputers, and architectural building blocks. Annotation copyright by Book News, Inc., Portland, OR

Frontier and Innovation in Future Computing and Communications

James J. (Jong Hyuk) Park,Albert Zomaya,Hwa-Young Jeong,Mohammad Obaidat
Frontier and Innovation in Future Computing and Communications Book PDF

Author : James J. (Jong Hyuk) Park,Albert Zomaya,Hwa-Young Jeong,Mohammad Obaidat
Publisher : Springer Science & Business
Page : 923 pages
File Size : 42,9 Mb
Release : 2014-04-18
Category : Technology & Engineering
ISBN : 9789401787987

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Frontier and Innovation in Future Computing and Communications by James J. (Jong Hyuk) Park,Albert Zomaya,Hwa-Young Jeong,Mohammad Obaidat Pdf

IT technology engineering changes everyday life, especially in Computing and Communications. The goal of this book is to further explore the theoretical and practical issues of Future Computing and Communications. It also aims to foster new ideas and collaboration between researchers and practitioners.

Embedded Systems and Artificial Intelligence

Vikrant Bhateja,Suresh Chandra Satapathy,Hassan Satori
Embedded Systems and Artificial Intelligence Book PDF

Author : Vikrant Bhateja,Suresh Chandra Satapathy,Hassan Satori
Publisher : Springer Nature
Page : 880 pages
File Size : 55,7 Mb
Release : 2020-04-07
Category : Technology & Engineering
ISBN : 9789811509476

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Embedded Systems and Artificial Intelligence by Vikrant Bhateja,Suresh Chandra Satapathy,Hassan Satori Pdf

This book gathers selected research papers presented at the First International Conference on Embedded Systems and Artificial Intelligence (ESAI 2019), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 2–3 May 2019. Highlighting the latest innovations in Computer Science, Artificial Intelligence, Information Technologies, and Embedded Systems, the respective papers will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.