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Studies in Computational Intelligence

Artificial Organic Networks

Artificial Intelligence Based on Carbon Networks

Authors: Ponce Espinosa, Hiram Eredín, Ponce-Cruz, Pedro, Molina, Arturo

  • Clear explanation of the algorithms described in flow diagrams and code
  • Demonstrates the new artificial network topologies described through experimental example
  • Discusses practical applications of the algorithm and networks presented
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eBook 83,29 €
price for Spain (gross)
  • ISBN 978-3-319-02472-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-02471-4
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-37800-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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About this book

This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and then, via some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular.

The advantages of using organic networks are discussed with the rules to be followed to adapt the network to its objectives. Graph theory is used as the basis of the necessary formalism. Simulated and experimental examples of the use of fuzzy logic and genetic algorithms with organic neural networks are presented and a number of modeling problems suitable for treatment by AHNs are described:

·        approximation;

·        inference;

·        clustering;

·        control;

·        classification; and

·        audio-signal filtering.

The text finishes with a consideration of directions in which AHNs could be implemented and developed in future. A complete LabVIEW™ toolkit, downloadable from the book’s page at springer.com enables readers to design and implement organic neural networks of their own.

The novel approach to creating networks suitable for machine learning systems demonstrated in Artificial Organic Networks will be of interest to academic researchers and graduate students working in areas associated with computational intelligence, intelligent control, systems approximation and complex networks.

About the authors

Professor Dr. Arturo Molina is Rector of Mexico City Metropolitan Area of Tecnologico de Monterrey. Former General Director of Campus Ciudad de Mexico, Vice president of Research and Technological Development, and Dean of the School of Engineering and Architecture of  Campus Monterrey. He was  a visiting professor at UC Berkeley at Mechanical Engineering Department during his Sabbatical year. He received his PhD degree in Manufacturing Engineering at Loughborough University of Technology, England in July 1995, his University Doctor degree in Mechanical Engineering at the Technical University of Budapest, Hungary in November 1992, his M.Sc. degree and BSc. in Computer Science from Tecnologico de Monterrey, Campus Monterrey. Professor Molina is member of the National Researchers System of Mexico (SNI-Nivel II), Mexican Academy of Sciences, Member of the IFAC Council, and member of IFIP WG5.12 Working Group on Enterprise Integration Architectures and IFIP WG 5.3 Cooperation of Virtual Enterprises and Virtual Organizations. He has offered seminars and conferences in USA, Canada, Latin America and Europe and is in the Editorial Board of the International Journal of Computer Integrated Manufacturing, Annual Reviews in Control and International Journal of Networking and Virtual Organisations. He has worked as a consultant for important Mexican corporations, World Bank, Inter-American Development Bank (IADB) and United Nations Information and Communication Technologies (ICT) Task Force. He has been Latin American coordinator of important international projects related to the development of Information Technologies such as: COSME-GVE (Cooperation of Small and Medium Enterprises - Global Virtual Enterprise), ENAPS (European Network for Advanced Performance Studies), e-HUBS (e-Engineering enabled by Holonomic and Universal Broker services) and Global e-Engineering (Global Collaborative Engineering Environment for Integrated Product Development using Internet 2). He also participated in the European Project (ECOLEAD – European Collaborative networked Organizations LEADership initiative) funded by the 6th Framework of the European Commission, and coordinated the project PYME CREATIVA (Acronym in Spanish for CREAtion of Information Technologies for Value Added Networks) sponsored by the IADB and IBM Sur Grant. Nowadays he is the principal researcher of a 7th Framework of the European Commission related to Sustainable Mass Customization – Mass Customization for Sustainability, and principal consultant of a technology transfer project to Peru of PyME CREATIVA sponsored by IADB.

Dr. Hiram Ponce-Espinosa is the author of the novel artificial intelligence technique called Artificial Organic Networks and author of the supervised learning algorithm so-called Artificial Hydrocarbon Networks.

 

He graduated from Tecnológico de Monterrey CCM, Mexico with a B.S. in Mechatronics Engineering (2008) and a Specialty in Control and Automation (2009). He also received both his Master’s Degree in Engineering Science with specialization in Intelligent Control (2010) and his Ph.D. in Computer Sciences with specialization in Artificial Intelligence (2013) from the same Institute.

 

He has published several research articles for both international conferences and journals, two books in the field of artificial intelligence and robotics, and he has participated in a chapter book at “LabVIEW: A Developer’s Guide to Real-World Integration” (2012). He is also co-author of six patents, including the recognized third-party software “Intelligent Control Toolkit for LabVIEW” (ICTL).

 

He is currently co-founder and CEO at Solarium Labs, the first Mexican research center 100% dedicated to develop intelligent systems for academy and industry. He is also professor and researcher at Tecnológico de Monterrey CCM, Mexico. His main interests are: artificial intelligence, engineering control systems, machine learning, and education.

Table of contents (7 chapters)

  • Introduction to Modeling Problems

    Ponce-Espinosa, Hiram (et al.)

    Pages 1-30

    Preview Buy Chapter 30,19 €
  • Chemical Organic Compounds

    Ponce-Espinosa, Hiram (et al.)

    Pages 31-52

    Preview Buy Chapter 30,19 €
  • Artificial Organic Networks

    Ponce-Espinosa, Hiram (et al.)

    Pages 53-72

    Preview Buy Chapter 30,19 €
  • Artificial Hydrocarbon Networks

    Ponce-Espinosa, Hiram (et al.)

    Pages 73-111

    Preview Buy Chapter 30,19 €
  • Enhancements of Artificial Hydrocarbon Networks

    Ponce-Espinosa, Hiram (et al.)

    Pages 113-129

    Preview Buy Chapter 30,19 €

Buy this book

eBook 83,29 €
price for Spain (gross)
  • ISBN 978-3-319-02472-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-02471-4
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-37800-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Organic Networks
Book Subtitle
Artificial Intelligence Based on Carbon Networks
Authors
Series Title
Studies in Computational Intelligence
Series Volume
521
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
Distribution Rights
Distribution rights for India: Delhi Book Store, New Delhi, India
eBook ISBN
978-3-319-02472-1
DOI
10.1007/978-3-319-02472-1
Hardcover ISBN
978-3-319-02471-4
Softcover ISBN
978-3-319-37800-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 228
Number of Illustrations
136 b/w illustrations, 56 illustrations in colour
Topics