Engineering Applications of Neural Networks - Info and Reading Options
14th International Conference, EANN 2013, Halkidiki, Greece, September 2013, Proceedings, Part II
By Chrisina Jayne, Shigang Yue and Lazaros S. Iliadis
"Engineering Applications of Neural Networks" is published by Springer in Aug 21, 2013 and it has 352 pages.
“Engineering Applications of Neural Networks” Metadata:
- Title: ➤ Engineering Applications of Neural Networks
- Authors: Chrisina JayneShigang YueLazaros S. Iliadis
- Number of Pages: 352
- Publisher: Springer
- Publish Date: Aug 21, 2013
- Library of Congress Classification: QA75.5-76.95QA76.9.D343
“Engineering Applications of Neural Networks” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Congresses - Computers - Systems engineering - Computational intelligence - Artificial Intelligence (incl. Robotics) - Pattern perception - Computer science - Data mining - Artificial intelligence - Optical pattern recognition - Engineering - Data Mining and Knowledge Discovery - Computer Applications - Computer Communication Networks - Information systems - Computer Appl. in Administrative Data Processing - Computation by Abstract Devices
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL28041971M - OL20698209W
- ISBN-13: 9783642410154
- ISBN-10: 3642410154
- All ISBNs: 3642410154 - 9783642410154
AI-generated Review of “Engineering Applications of Neural Networks”:
"Engineering Applications of Neural Networks" Description:
The Open Library:
The two volume set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics, and learning.
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