Deep Learning for Cognitive Computing Systems - Technological Advancements and Applications

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

About the author

M.G. Sumithraand A. M. Manoharan, KPR Institute; R.K. Dhanaraj, Galgotias University, India; C. Iwendi, Bangor College, China.

Product details

• Assisted by: Celestine Iwendi (Editor), Celestine Iwendi et al (Editor), Rajesh Kumar Dhanaraj (Editor), Anto Merline Manoharan (Editor), M. G. Sumithra (Editor), M.G. Sumithra (Editor)
• Publisher: De Gruyter
• Languages: English, German
• Product format: Hardback
• Released: 29.01.2024
• EAN: 9783110750508
• ISBN: 978-3-11-075050-8
• No. of pages: 199
• Dimensions: 170 mm x 18 mm x 240 mm
• Weight: 497 g
• Illustrations: 10 b/w and 58 col. ill., 15 b/w tbl.
• Series: Smart Computing Applications; Smart Computing Applications, 7
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT