Search Results

Enrichment of glutaminase production by Bacillus subtilis RSP-GLU in submerged cultivation based on neural network—genetic algorithm approach

Authors: Sathish, Thadikamala; Prakasham, Reddy Shetty

Source: Journal of Chemical Technology & Biotechnology, Volume 85, Number 1, January 2010 , pp. 50-58(9)

Publisher: John Wiley & Sons, Ltd.

Reduced order state-space modelling of a two-shaft turbofan engine for control and off-design performance analysis

Authors: Varadharajan, Rajasekar; Vasa, Nilesh J.; Srinivasa, Y.G.

Source: International Journal of Automation and Control, Volume 4, Number 1, 2 December 2009 , pp. 26-41(16)

Publisher: Inderscience Publishers

Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

Authors: Sakthivel, N.R.; Sugumaran, V.; Nair, Binoy B.

Source: International Journal of Data Analysis Techniques and Strategies, Volume 2, Number 1, 3 December 2009 , pp. 38-61(24)

Publisher: Inderscience Publishers

Pattern Recognition of Vertical Strabismus Using an Artificial Neural Network (StrabNet^©)

Authors: Chandna, Arvind; Fisher, Anthony C.; Cunningham, Ian; Stone, Deborah; Mitchell, Maureen

Source: Strabismus, Volume 17, Number 4, December 2009 , pp. 131-138(8)

Publisher: Informa Healthcare

A fast method for fuzzy neural network modelling and refinement

Authors: Pizzileo, Barbara; Li, Kang; Irwin, George W.

Source: International Journal of Modelling, Identification and Control, Volume 8, Number 3, 17 November 2009 , pp. 175-183(9)

Publisher: Inderscience Publishers

A three-dimensional self-adaptive region fuzzy guidance law based on RBF neural networks

Authors: Zhang, Ruchuan; Zhao, Hongchao; Yu, Jinyong

Source: International Journal of Modelling, Identification and Control, Volume 8, Number 3, 17 November 2009 , pp. 184-190(7)

Publisher: Inderscience Publishers

Online variety recognition of auto rack girders based on combination of Fuzzy ART neural network with D-S evidence theory

Authors: Wang, Hua; Gao, Jingang; Zhang, Shuang

Source: International Journal of Modelling, Identification and Control, Volume 8, Number 3, 17 November 2009 , pp. 198-204(7)

Publisher: Inderscience Publishers

Machine Learning Quantitative Structure-Activity Relationships (QSAR) for Peptides Binding to the Human Amphiphysin-1 SH3 Domain

Author: Ivanciuc, Ovidiu

Source: Current Proteomics, Volume 6, Number 4, December 2009 , pp. 289-302(14)

Publisher: Bentham Science Publishers

Classifying tensile strength of HSLA steel: an investigation through neural networks using Mahalanobis Distance

Authors: Das, Prasun; Datta, Shubhabrata; Bhattacharyay, Bidyut Kr.

Source: International Journal of Mechatronics and Manufacturing Systems, Volume 3, Numbers 1-2, 2 December 2009 , pp. 97-115(19)

Publisher: Inderscience Publishers

Comparison of Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in the Prediction of Quality Parameters of Spray-Dried Pomegranate Juice

Authors: Youssefi, Sh.; Emam-Djomeh, Z.; Mousavi, S. M.

Source: Drying Technology, Volume 27, Numbers 7-8, July 2009 , pp. 910-917(8)

Publisher: Taylor and Francis Ltd

Colon segmentation and colonic polyp detection using cellular neural networks and three-dimensional template matching

Authors: Kilic, Niyazi; Ucan, Osman N.; Osman, Onur

Source: Expert Systems, Volume 26, Number 5, November 2009 , pp. 378-390(13)

Publisher: Blackwell Publishing

ARTIFICIAL NEURAL NETWORK MODELING FOR REFORESTATION DESIGN THROUGH THE DOMINANT TREES BOLE-VOLUME ESTIMATION

Authors: DIAMANTOPOULOU, MARIA J.; MILIOS, ELIAS; DOGANOS, DIMITRIOS; BISTINAS, IOANNIS

Source: Natural Resource Modelling, Volume 22, Number 4, November 2009 , pp. 511-543(33)

Publisher: Blackwell Publishing

Communicating flood forecast uncertainty under operational circumstances

Authors: Cullmann, J.; Krausse, T.; Philipp, A.

Source: Journal of Flood Risk Management, Volume 2, Number 4, December 2009 , pp. 306-314(9)

Publisher: Blackwell Publishing

Reference evapotranspiration forecasting using different artificial neural networks algorithms

Authors: Chauhan, Seema; Shrivastava, R. K.

Source: Canadian Journal of Civil Engineering, Volume 36, Number 9, 1 September 2009 , pp. 1491-1505(15)

Publisher: NRC Research Press

The forward and inverse problems in magnetic induction tomography of low conductivity structures

Authors: Palka, Ryszard; Gratkowski, Stanislaw; Stawicki, Krzysztof; Baniukiewicz, Piotr

Source: Engineering Computations: Int J for Computer-Aided Engineering, Volume 26, Number 7, 2009 , pp. 843-856(14)

Publisher: Emerald Group Publishing Limited

A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks

Author: Yilmaz, Işık

Source: Bulletin of Engineering Geology and the Environment, Volume 68, Number 3, August 2009 , pp. 297-306(10)

Publisher: Springer

Inverse technique identification of material parameters using finite element and neural network computation

Authors: Chamekh, A.; Bel Hadj Salah, H.; Hambli, R.

Source: The International Journal of Advanced Manufacturing Technology, Volume 44, Numbers 1-2, September 2009 , pp. 173-179(7)

Publisher: Springer

Prediction of coal grindability based on petrography, proximate and ultimate analysis using neural networks and particle swarm optimization technique

Authors: Modarres, Hamid Reza; Kor, Mohammad; Abkhoshk, Emad; Alfi, Alireza; Hower, James C.

Source: Energy Exploration & Exploitation, Volume 27, Number 3, June 2009 , pp. 201-212(12)

Publisher: Multi-Science Publishing Co Ltd

Decoupling control of bearingless permanent magnet-type synchronous motor using artificial neural networks-based inverse system method

Authors: Sun, Xiao-dong; Zhu, Huang-qiu; Pan, Wei

Source: International Journal of Modelling, Identification and Control, Volume 8, Number 2, 27 October 2009 , pp. 114-121(8)

Publisher: Inderscience Publishers

Exponential stability of cellular neural networks with time-varying delay

Authors: Wu, Xue-li; Du, Wen-xia; Wang, Yan-hong; Zhou, Zhan-tong

Source: International Journal of Modelling, Identification and Control, Volume 8, Number 2, 27 October 2009 , pp. 130-138(9)

Publisher: Inderscience Publishers