IJCNN'93 - Nagoya

IJCNN'93 - Nagoya PDF Author:
Publisher:
ISBN:
Category : Neural circuitry
Languages : en
Pages : 1034

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IJCNN'93 - Nagoya

IJCNN'93 - Nagoya PDF Author:
Publisher:
ISBN:
Category : Neural circuitry
Languages : en
Pages : 1034

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Book Description


IJCNN'93-Nagoya

IJCNN'93-Nagoya PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Proceedings of 1993 International Joint Conference on Neural Networks

Proceedings of 1993 International Joint Conference on Neural Networks PDF Author: IJCNN (1993, Nagoya)
Publisher:
ISBN:
Category :
Languages : en
Pages : 976

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Proceedings of International Conference on Big Data, Machine Learning and their Applications

Proceedings of International Conference on Big Data, Machine Learning and their Applications PDF Author: Shailesh Tiwari
Publisher: Springer Nature
ISBN: 9811583773
Category : Technology & Engineering
Languages : en
Pages : 407

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Book Description
This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications (ICBMA 2019) held at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during 29–31 May 2020. The book provides significant contributions in a structured way so that prospective readers can understand how these techniques are used in finding solutions to complex engineering problems. The book covers the areas of big data, machine learning, bio-inspired algorithms, artificial intelligence and their applications.

Self-Organizing Maps

Self-Organizing Maps PDF Author: Teuvo Kohonen
Publisher: Springer Science & Business Media
ISBN: 3642976107
Category : Science
Languages : en
Pages : 372

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Book Description
The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.

Proceedings of 1993 International Joint Conference on Neural Networks

Proceedings of 1993 International Joint Conference on Neural Networks PDF Author: IJCNN
Publisher:
ISBN:
Category :
Languages : en
Pages :

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International Conference on Electronics and Electrical Engineering

International Conference on Electronics and Electrical Engineering PDF Author:
Publisher: DEStech Publications, Inc
ISBN: 160595103X
Category : Technology & Engineering
Languages : en
Pages : 688

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Book Description
All papers including in this proceedings had undergone the strict peer-review by the experts before they are accepted for publications. This proceeding covers the subjects of analog circuits and digital circuits, assembly and packaging, biomedical circuits, computer architecture, computer engineering, control engineering, electric power system and automation, energy and power systems, instrumentation engineering, signal processing and other related areas. We hope this proceeding will contribute in stimulating debate and research among scholars, researchers and academicians. CEEE 2014 is to provide a forum for researchers, academicians, engineers, and government officials from all over the world to involved in the general areas of Electronics and Electrical Engineering to disseminate their latest research results and exchange views on the future research directions of these fields.This conference provides opportunities for the participants to exchange new ideas and application experiences face to face.

Foundations of Generic Optimization

Foundations of Generic Optimization PDF Author: R. Lowen
Publisher: Springer Science & Business Media
ISBN: 1402066686
Category : Mathematics
Languages : en
Pages : 463

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Book Description
This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks. This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field.

Neural Information Processing

Neural Information Processing PDF Author: Teddy Mantoro
Publisher: Springer Nature
ISBN: 303092310X
Category : Computers
Languages : en
Pages : 772

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Book Description
The two-volume set CCIS 1516 and 1517 constitutes thoroughly refereed short papers presented at the 28th International Conference on Neural Information Processing, ICONIP 2021, held in Sanur, Bali, Indonesia, in December 2021.* The volume also presents papers from the workshop on Artificial Intelligence and Cyber Security, held during the ICONIP 2021. The 176 short and workshop papers presented in this volume were carefully reviewed and selected for publication out of 1093 submissions. The papers are organized in topical sections as follows: theory and algorithms; AI and cybersecurity; cognitive neurosciences; human centred computing; advances in deep and shallow machine learning algorithms for biomedical data and imaging; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; applications. * The conference was held virtually due to the COVID-19 pandemic.

Software Engineering in the Era of Cloud Computing

Software Engineering in the Era of Cloud Computing PDF Author: Muthu Ramachandran
Publisher: Springer Nature
ISBN: 3030336247
Category : Computers
Languages : en
Pages : 354

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Book Description
This book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm). However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applications in big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation. The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.