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
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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