seminar report artificial neural networks lecture notes

Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks

... DESIGN ARTIFICIAL NEURAL NETWORK MODEL Neural networks are computer models that mimic the knowledge acquisition and organization skills of the human brain. Since, the characteristics of a neural ... Ellis, GW (1992). " ;Neural network modeling of the mechanical behavior of sand," Proc. 9 th Conf. ASCE, New York, pp 421-424. Garson, GD (1991). "Interpreting neural- network connection ... Philadelphia, pp 254-271. Jingsheng, SJ, Ortigao, AR, and Junli, B (1998). "Modular Neural Networks for Predicting Settlement during Tunneling," J. Geotech. ASCE, Vol 124, No 5,...

Ngày tải lên: 22/03/2013, 15:01

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ARTIFICIAL NEURAL NETWORKS – ARCHITECTURES AND APPLICATIONS doc

... of Neural Networks 163 Hazem M. El-Bakry Chapter 9 Applying Artificial Neural Network Hadron - Hadron Collisions at LHC 183 Amr Radi and Samy K. Hindawi Chapter 10 Applications of Artificial Neural ... distribution. Artificial Neural Networks – Architectures and Applications6 Biologically Plausible Artiﬁcial Neural Networks 13 Figure 10. Representation of (b) KI and (c) KII sets by networks of ... equations (ODE) [16]. Artificial Neural Networks – Architectures and Applications36 6 Artiﬁcial Neural Networks 1.6. Back-propagation Back-propagation (BP) is a supervised algorithm for multilayer networks. ...

Ngày tải lên: 15/03/2014, 23:20

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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf

... www.intechopen.com Advanced Air Pollution 496 2. Artificial neural networks – several types for different purposes Artificial neural networks can be divided into several groups according ... Kurkova, V. (1992). Kolmogorov’s Theorem and Multilayer Neural Networks, Neural Networks, 5, pp. 501-506 Lawrence, J. (1991). Introduction to Neural Networks, California Scientific Software, Grass ... Conclusion Two types of artificial neural networks were shown to be useful tools for environmental modelling: the multilayer perceptron neural network MPNN and the Kohonen neural network KNN....

Ngày tải lên: 29/03/2014, 21:20

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vehicle signal analysis using artificial neural networks

... -0.18 5.26 93.9 B(10) 13 10.6 98.0 5. Conclusions In this study, the applicability of artificial neural networks (ANN) is investigated for the improvement of conventional B-WIM systems so that ... however the accuracy decreased for individual axle weights [10]. The application of artificial neural networks (ANN) to the B-WIM was attempted in 2003 by Gonzalez et al. for noise removal ... ISSN 1424-8220 www.mdpi.com/journal/sensors Article Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System Sungkon Kim 1 , Jungwhee Lee 2,* , Min-Seok...

Ngày tải lên: 28/04/2014, 10:02

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a new type of structured artificial neural networks

... Sanders. “Data refinement refined.” Lecture Notes In Computer Science, Vol 213, pp. 187-196 (1986). [6] Jeff W. Sanders. ”Computations and Relational Bundles.” Lecture Notes in Computer Science, Vol ... but coexisting processes: (1) new information arrives as the A new type of Structured Artificial Neural Networks based on the Matrix Model of Computation Sergio Pissanetzky Research Scientist. Memb ... version of SCA, discuss the advantages of MMC ANNs, and illustrate with a small example. Keywords: neural networks, dynamic systems, ontologies, self-organizing systems, artificial intelligence, semantic...

Ngày tải lên: 28/04/2014, 10:06

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audio to visual speech synthesis using artificial neural networks

... speech movements by training an artificial neural network to associate or map fundamental acoustic properties of auditory speech to our visible speech parameters. Neural networks have been shown to be ... of our parameter estima- tor. Picture My Voice: Audio to Visual Speech Synthesis using Artificial Neural Networks Dominic W. Massaro , Jonas Beskow, Michael M. Cohen, Christopher L. Fry, and Tony ... makes this data set a hard test for the networks. The training and generalization tests followed the same general procedure as with the isolated words. The networks were trained from 500 to 5000...

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báo cáo hóa học: " Error mapping controller: a closed loop neuroprosthesis controlled by artificial neural networks" doc

... Narendra K, Parthasarathy K: Identification and control of dynamical systems using neural networks. IEEE Trans Neural Networks 1990, 1:4-27. 23. Matsuoka K: Noise injection into inputs in back-propagation learning. ... procedures, are required. Methods: The error mapping controller (EMC) here proposed uses artificial neural networks (ANNs) both for the design of an inverse model and of a feedback controller. A ... a feedforward inverse model and a feedback controller, both implemented using neural networks. The training of the networks is conceived to avoid to a therapist and a patient any extra experiment,...

Ngày tải lên: 19/06/2014, 10:20

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báo cáo hóa học: " Correction: Error mapping controller: a closed loop neuroprosthesis controlled by artificial neural networks" docx

Ngày tải lên: 19/06/2014, 10:20

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Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf

... orders@intechweb.org Artificial Neural Networks - Industrial and Control Engineering Applications, Edited by Kenji Suzuki p. cm. ISBN 978-953-307-220-3 1 Review of Application of Artificial Neural Networks ... m/min because of the ARTIFICIAL NEURAL NETWORKS ͳ INDUSTRIAL AND CONTROL ENGINEERING APPLICATIONS Edited by Kenji Suzuki Review of Application of Artificial Neural Networks in Textiles ... unsupervised artificial neural networks. The classification with features extracted explicitly by image processing is more accurate than with features from unsupervised artificial neural networks...