Skip to main content

Shallow and Deep Learning Principles

Scientific, Philosophical, and Logical Perspectives

  • Book
  • © 2023

Overview

  • Discusses Artificial Neural Networks (ANN), their features aligning with goals of parallel processing modeling methods
  • Describes implementation of ANNs using three layers: input, output, and the hidden (intermediate) layer
  • Presents methods for modeling, simulating, optimizing and predicting future behavior in various subjects
  • 3291 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules.

Similar content being viewed by others

Keywords

Table of contents (9 chapters)

Authors and Affiliations

  • Istanbul Medipol University, Istanbul, Türkiye

    Zekâi Şen

About the author

Zekâi Şen obtained B. Sc. and M. Sc Degrees from Technical University of İstanbul, Civil Engineering Faculty, Department of Reinforced Concrete in 1971. His further post-graduate studies were carried out at the University of London, Imperial College of Science and Technology. He was granted Diploma of Imperial College (D.I.C) and M. Sc. in Engineering Hydrology in 1972 and Ph. D. in stochastic hydrology in 1974. He worked in different countries such as England, Norway, Saudi Arabia and Turkey. He worked in different faculties as the head of department such as the Faculty of Earth Sciences, Hydrogeology Department; Faculty of Astronautics and Aeronautics, Meteorology Department. His main interests are hydrology, water resources, hydrogeology, hydrometeorology, hydraulics, science philosophy and history. He has published numerous (Science Citation Indexed) SCI scientific papers in different internationally top journals on various topics.

He supervised many national and international students for M. Sc. and Ph. D. degrees. He holds several national (Encouragement Science Price for Young Scientist in 1978, Science Price in 1993 both from the Scientific and Technological Research Council of Turkey, etc.) and international scientific prizes and the most recent one is given as a team work due to his contribution to "Nobel Peace Prize" through his works in IPCC form 2002-2007 concerning Climate Change. He also holds Science Encouragement Prize (1978) and Science Prize (1993) from Science and Technology Center of Turkey in addition to administration and Science Prize from the King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. He also had a chair as consultant at Prince Sultan Research Center, King Saud University, and Riyadh. He worked as consultant with the Saudi Geological Survey for three years on various water, climate change and groundwater issues.  He worked also with the ARAMCO as a consultant for hydrogeology and groundwater training program development. He made numerous other national and international consulting works on water resources, climate change, renewable energy alternatives, earthquake engineering, earth sciences and similar projects. He is currently working at the Technical University of Istanbul, Civil Engineering Faculty. He is also the president of Turkish Water Foundation. He holds several national and international scientific prizes and one of the recent one is the "Nobel Peace Prize", which is given as a result of team work during his actual contributions in IPCC form 2002-2007 concerning Climate Change Impact on Fresh Water Resources.

Bibliographic Information

  • Book Title: Shallow and Deep Learning Principles

  • Book Subtitle: Scientific, Philosophical, and Logical Perspectives

  • Authors: Zekâi Şen

  • DOI: https://doi.org/10.1007/978-3-031-29555-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-29554-6Published: 02 June 2023

  • Softcover ISBN: 978-3-031-29557-7Published: 03 June 2024

  • eBook ISBN: 978-3-031-29555-3Published: 01 June 2023

  • Edition Number: 1

  • Number of Pages: XX, 661

  • Number of Illustrations: 251 b/w illustrations, 71 illustrations in colour

  • Topics: Communications Engineering, Networks, Probability and Statistics in Computer Science, Business and Management, general, Artificial Intelligence

Publish with us