Open AccessBook
Artificial Neural Networks: Theory and Applications
Dan W. Patterson
- 01 Aug 1998
760
TL;DR: This book introduces the newly emerging technology of artificial neural networks and demonstrates its use in intelligent manufacturing systems and presents some of the most promising current research in the design and training of artificial Neural networks with applications in speech and vision.
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Abstract: DOWNLOAD http://bit.ly/1OslRBc Artificial neural networks: theory and applications This comprehensive tutorial on artifical neural networks covers all the important neural network architectures as well as the most recent theory-e.g., pattern recognition, statistical theory, and other mathematical prerequisites. A broad range of applications is provided for each of the architectures. Artificial neural networks for intelligent manufacturing , Cihan H. Dagli, 1994, Technology & Engineering, 469 pages. This book introduces the newly emerging technology of artificial neural networks and demonstrates its use in intelligent manufacturing systems.. Presents some of the most promising current research in the design and training of artificial neural networks (ANNs) with applications in speech and vision, as reported by the. Provides an introduction to the use of neural networks in mechanical engineering applications. This book presents models like Hopfield, Bi-directional Associative Memory, fuzzy. The recent interest in artificial neural networks has motivated the publication of numerous books, including selections of research papers and textbooks presenting the most.
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Citations
A multi-stage collaborative filtering approach for mobile recommendation
Li-Hua Li,Fu-Ming Lee,Yu-Chun Chen,Chieh-Yu Cheng +3 more
- 15 Feb 2009
TL;DR: A Multi-stage Collaborative Filtering process to provide event recommendation based on mobile user's location to present a personalized event recommendation system for mobile users and shows better outcome for cold-start problem when comparing with user-based CF and item-basedCF.
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Artificial Neural Networks Based Modeling and Control of Continuous Stirred Tank Reactor
TL;DR: Results indicated that neural networks can learn accurate models and give good nonlinear control when model equations are not known and be used for control of isothermal CSTR.
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Buying behavior study with basket analysis: pre-clustering with a Kohonen map
TL;DR: Different ways of articulating general and product-specific typologies are suggested which are illustrated on a real database of buyers' behavior in a book club to show a significant improvement with regards to the results obtained using either RFM segmentation or logistic regression.
Application of Hilbert--Huang transform and support vector machine for detection and classification of voltage sag sources
TL;DR: The detection and classification of voltage sag sources containing motor starting, short circuit, transformer energizing, and the reacceleration of motors after fault clearance using the Hilbert--Huang transform (HHT) and support vector machine (SVM) are studied.
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PMU-ANN based approach for real time voltage stability monitoring
Harita Shah,Kusum Verma +1 more
- 04 Mar 2016
TL;DR: In this article, a feed forward neural network (FFNN) is used to measure voltage magnitude and voltage angle from a phase measurement unit (PMU) for real-time voltage stability monitoring.
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