Description

Book Synopsis
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.



Table of Contents
Introduction.- Philosophical and Logical Principles in Science.- Uncertainty and Modeling Principles.- Mathematical Modeling Principles.- Genetic Algorithm.- Artificial Neural Networks.- Artıfıcıal Intellıgence.- Machıne Learnıng.- Deep Learning.- Conclusion.

Shallow and Deep Learning Principles: Scientific,

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    A Hardback by Zekâi Şen

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      Publisher: Springer International Publishing AG
      Publication Date: Publication Date: 02/06/2023
      ISBN13: 9783031295546, 978-3031295546
      ISBN10: 3031295544

      Description

      Book Synopsis
      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.



      Table of Contents
      Introduction.- Philosophical and Logical Principles in Science.- Uncertainty and Modeling Principles.- Mathematical Modeling Principles.- Genetic Algorithm.- Artificial Neural Networks.- Artıfıcıal Intellıgence.- Machıne Learnıng.- Deep Learning.- Conclusion.

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