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
Compliance with International Soft Law: Is the Adoption of Soft Law Predictable?
TL;DR: A novel estimation method, a neural network modelling technique, with multi-layer perceptron artificial neural network (MPANN) is employed, able to achieve a superior goodness of fit and predictive accuracy in determining implementation of soft law.
An introductory concept to 'Human like' odor descriptions by grounding linguistic symbols
Amy Loutfi,Silvia Coradeschi,Peter Wide +2 more
- 07 Aug 2002
TL;DR: A system that is capable of interpreting the results from an electronic nose by using linguistic terms to generate a description of the sample and it is shown that unknown odors can be described by using combinations of known odor terms.
•Dissertation
Computer simulation of an excess proton in aqueous systems
Amani Naser Tahat
- 01 Jun 2016
TL;DR: In this paper, the microscopic physical-chemical properties of an excess proton in aqueous systems from bulk water environments to narrow hydrophobic channels constructed with a double-layered graphene slab have been computed and analyzed together with a variety of dynamical properties, including proton diffusion, transfer rates and spectroscopic vibrational bands.
4
Designing Structural Parameters of Nonwovens
TL;DR: Both quality measurement analysis and human knowledge processing are integrated in the system and it allows designers to optimize the structure of nonwoven materials with limited trials according to the functional properties given in customers' specifications.
4
Teknik jaringan syaraf tiruan feedforward untuk prediksi harga saham pada pasar modal indonesia
D P Budi Bambang,Rochani J. Widodo,Iftikar Zahedi Sutalaksana,Moses Laksono Singgih +3 more
- 01 Jan 1999
TL;DR: In this paper, the authors used time series neural network to predict the stock market in Semen Gresik (SMGR) and Gudang Garam (GGRM).