| 书目名称 | Shallow and Deep Learning Principles | | 副标题 | Scientific, Philosop | | 编辑 | Zekâi Şen | | 视频video | | | 概述 | 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 hidde | | 图书封面 |  | | 描述 | 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.. | | 出版日期 | Book 2023 | | 关键词 | Artificial Neural Networks; Philosophical and Logical Principles in Science; Uncertainty and Modeling | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-29555-3 | | isbn_softcover | 978-3-031-29557-7 | | isbn_ebook | 978-3-031-29555-3 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:16:58
