Principles of Artificial Neural Networks ― Basic Designs to Deep Learning
商品資訊
系列名：Advanced Series in Circuits and Systems
ISBN13：9789811201226
出版社：World Scientific Pub Co Inc
作者：Daniel Graupe
出版日：2019/06/27
裝訂／頁數：精裝／400頁
規格：24.8cm*17.1cm*2.5cm (高/寬/厚)
版次：4
商品簡介
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks -- demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks.
It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.
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