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
From Learning Management System to Internet-Based Research in Mathematics Education
Tianxing Cai
- 01 Jan 2015
TL;DR: This chapter presents the introduction of the transformation from LMS to Internet-based research in the mathematical education and creates a broad, multidisciplinary understanding of online education across educational boundaries and demonstrates the unique future trajectories that online education has within these mathematics.
5
Lossless compression of multispectral satellite images
TL;DR: A neural network-based technique to compress multispectral SPOT satellite images losslessly that harnesses the pattern recognition property of one-hidden-layer back propagation neural networks to exploit both the spatial and the spectral redundancy of the three-band SPOT images.
5
Clustering and Visualization of Bankruptcy Patterns Using the Self-Organizing Maps
Andrzej Burda,Krzysztof Pancerz +1 more
- 01 Jan 2014
TL;DR: In this article, a self-organizing map (SOM), often called the Kohonen net, has been used in the unsupervised modelling mode for generating and visualization of the state of SMEs in the Podkarpacie region on the basis of information included in financial reports.
5
•Dissertation
Modelling the Concentration Distribution of Non-Buoyant Aerosols Released from Transient Point Sources into the Atmosphere
Xiaoying Cao
- 23 Oct 2007
TL;DR: In this paper, Artificial Neural Network (ANN) models were developed to model the short-term concentration distribution of aerosols released from point sources, focusing on relative dispersion from the puff centroid.
5
Data Integration Technology for Industrial and Environmental Research via Air Quality Monitoring Network
Tianxing Cai
- 01 Jan 2015
TL;DR: Based on an available air-quality monitoring network, the data integration technologies are applied to identify the scenarios of the possible emission source and the dynamic pollutant monitor result, so as to timely and effectively support diagnostic and Data Integration Technology for Industrial and Environmental Research via Air Quality Monitoring Network.
5