... DESIGN ARTIFICIALNEURAL 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. 9th 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,...
... of NeuralNetworks 163Hazem M. El-BakryChapter 9 Applying ArtificialNeural Network Hadron - HadronCollisions at LHC 183Amr Radi and Samy K. HindawiChapter 10 Applications of ArtificialNeural ... distribution. Artificial NeuralNetworks – Architectures and Applications6Biologically Plausible Artificial NeuralNetworks 13Figure 10. Representation of (b) KI and (c) KII sets by networks of ... equations(ODE) [16]. Artificial NeuralNetworks – Architectures and Applications366 Artificial Neural Networks 1.6. Back-propagationBack-propagation (BP) is a supervised algorithm for multilayer networks. ...
... www.intechopen.com Advanced Air Pollution 496 2. Artificialneuralnetworks – several types for different purposes Artificial neuralnetworks 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 artificialneuralnetworks were shown to be useful tools for environmental modelling: the multilayer perceptron neural network MPNN and the Kohonen neural network KNN....
... -0.18 5.26 93.9 B(10) 13 10.6 98.0 5. Conclusions In this study, the applicability of artificialneuralnetworks (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 artificialneuralnetworks (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 ArtificialNeuralNetworks for a Bridge Weigh-in-Motion System Sungkon Kim 1, Jungwhee Lee 2,*, Min-Seok...
... Sanders.“Data refinement refined.” LectureNotes In ComputerScience, Vol 213, pp. 187-196 (1986).[6] Jeff W. Sanders. ”Computations and RelationalBundles.” LectureNotes in Computer Science, Vol ... butcoexisting processes: (1) new information arrives as theA new type of Structured Artificial Neural Networks based on the Matrix Model of ComputationSergio PissanetzkyResearch Scientist. Memb ... version of SCA, discuss the advantages ofMMC ANNs, and illustrate with a small example.Keywords: neural networks, dynamic systems, ontologies,self-organizing systems, artificial intelligence, semantic...
... speechmovements by training an artificial neural network to associate or map fundamental acousticproperties of auditory speech to our visible speechparameters. Neuralnetworks have been shown tobe ... of our parameter estima-tor.Picture My Voice:Audio to Visual Speech Synthesis using ArtificialNeural Networks Dominic W. Massaro , Jonas Beskow, Michael M. Cohen, Christopher L. Fry, and Tony ... makes this data set ahard test for the networks. The training and generalization tests followed thesame general procedure as with the isolatedwords. The networks were trained from 500 to5000...
... Narendra K, Parthasarathy K: Identification and con-trol of dynamical systems using neural networks. IEEE Trans Neural Networks 1990, 1:4-27.23. Matsuoka K: Noise injection into inputs in back-propagationlearning. ... procedures, are required.Methods: The error mapping controller (EMC) here proposed uses artificialneural 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 ofthe networks is conceived to avoid to a therapist and apatient any extra experiment,...
... orders@intechweb.org Artificial NeuralNetworks - Industrial and Control Engineering Applications, Edited by Kenji Suzuki p. cm. ISBN 978-953-307-220-31 Review of Application of ArtificialNeural Networks ... m/min because of the ARTIFICIAL NEURAL NETWORKS ͳ INDUSTRIAL AND CONTROL ENGINEERING APPLICATIONSEdited by Kenji SuzukiReview of Application of ArtificialNeuralNetworks in Textiles ... unsupervised artificialneural networks. The classification with features extracted explicitly by image processing is more accurate than with features from unsupervised artificialneural networks...
... Regression and ArtificialNeural Networks. Textile Research Journal, 2009, 79(18), 1649-1657. Hui, C.L.P., Chan, C.C.K., Yeung, K.W. and Ng, S.F.F. Application of artificialneural networks to ... zero mean and Artificial Neural Network Prosperities in Textile Applications 53 properties are surface tension and viscosity which are modeled using two artificialneural networks (ANNs) ... using empirical as well as artificialneural network (ANN model) by alkali concentration, temperature and time as inputs. Both statistical model Artificial NeuralNetworks - Industrial and Control...
... Analysis and Neural Networks. Textile Research Journal, Vol.72, No.5, pp. 417-422, ISSN 0040-5175 Murrells, C. M.; Tao, X. M.; Xu, B. G. & Cheng, K. P. S. (2009). An ArtificialNeural Network ... and ArtificialNeural Networks. Textile Research Journal, Vol.79, No.5, pp. 468-478, ISSN 0040-5175 Pynckels, F.; Kiekens, P.; Sette, S.; Van Langenhove, L. & Impe, K. (1995). Use of NeuralNets ... Quality of Knitted Fabrics. Engineering Applications of Artificial Intelligence, Vol.23, pp. 217-221, ISSN 0952-1976 ArtificialNeuralNetworks - Industrial and Control Engineering Applications...
... spectroscopy using artificialneural networks, Journal of the European Optical Society – Rapid Publications, Vol. 3, (March 2008) 08011, ISSN: 19902573 Application of ArtificialNeuralNetworks in ... ,njijijizWxbj p==+=∑ (1) Fig. 1. A schematic description of artificialneural network configuration Artificial NeuralNetworks - Industrial and Control Engineering Applications 120 ... neurons. Artificial NeuralNetworks for Material Identification, Mineralogy and Analytical Geochemistry Based on Laser-Induced Breakdown Spectroscopy 115 Haykin. S. (1999) Neural Networks: ...
... mechanical properties were tested. Artificial NeuralNetworks - Industrial and Control Engineering Applications 156 Fig. 3. Schematic architecture of ArtificialNeural Network model. The processing ... ArtificialNeuralNetworks - Industrial and Control Engineering Applications 146 According to the BP neural network model, the number of hidden neurons is initially chosen as 6, so the neural ... Training Feedforward Networks with the Marquardt Algorithm. IEEE Transactions on Neural Networks, Vol.5, No.6, (1994), pp. 989-993, ISSN 1045-9227 Han, Y. L., (1995). ArtificialNeural Network Technology...
... ArtificialNeuralNetworks - Industrial and Control Engineering Applications 182 Karacan, C.O. (2007). Development and application of reservoir models and artificialneural networks ... inference system In the artificial intelligence field, the term “neuro-fuzzy” refers to combinations of artificial neural networks and fuzzy logic. Fuzzy modeling and neuralnetworks have been recognized ... (as-received) Artificial NeuralNetworks - Industrial and Control Engineering Applications 168 Botlani-Esfahani. M, Toroghinejad. M. R. and Abbasi. Sh. (2009b) ArtificialNeural Network...
... Yadong Jiang (2004). An Artificial Olfactory system based on Gas Sensor Array and Back-Propogation Neural Network, LectureNotes in Computer Science, Advances in Neural Networks, Vol. 3174, pp. ... microbial phenotypes and artificialneural networks. Appl. Environ. Microbiol., 65, pp. 4484–4489 Lou, W., & Nakai, S. (2001). Application of artificialneuralnetworks for predicting the ... knowledge with the learning capabilities of ArtificialNeuralNetworks (ANN). The intelligent modeling approach of models employing ArtificialNeural Network in combination with other data...