{ "item_title" : "Principles of Artificial Neural Networks", "item_author" : [" Daniel Graupe "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/81/120/122/9811201226_b.jpg", "price_data" : { "retail_price" : "158.00", "online_price" : "158.00", "our_price" : "158.00", "club_price" : "158.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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