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
Survey on Rainfall Prediction using Artificial Neural Network
TL;DR: In this article , a review of the literature on some study methods used by many scholars to use ANN for predicting rainfall is presented, and the study notes that the ANN approach is more suitable for predicting rain than standard numerical and statistical techniques.
•Dissertation
An Analysis of Overfitting in Particle Swarm Optimised Neural Networks
van Wyk,Andrich Benjamin +1 more
- 21 Apr 2015
TL;DR: The PSO is shown to be a very effective algorithm for the training of self-adaptive FFNNs, capable of learning from unscaled data and having a dominant effect on the resultant FFNN accuracy.
5
•Journal Article
Neural Network Approach to Routing in Sensor Network
TL;DR: In this paper, the routing table is replaced by artificial neural network and real-time learning is done during the using of the system in the sensor network, which is implemented in the reconfigurable hardware.
5
•Proceedings Article
A new approach for prediction by using integrated neural networks
Hazem M. El-Bakry,Nikos E. Mastorakis +1 more
- 29 Jan 2011
TL;DR: Fast Feedforwared Neural Networks (FFNNs) is integrated with modified recurrent neural networks for powerful estimation and is applied for prediction of power consumption.
5
Event-orthogonal error-insensitive multiple fault detection with cascade correlation network
TL;DR: In this paper, a fault detection system with cascade correlation network (CCN) for a power system is presented, which makes use of information from both the primary and back-up devices involving single fault, multiple faults, data communication with errors, or fault with the failed operation of relays and circuit breakers.
5