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3,589 articles with title/keywords/abstract containing artificial neural network

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Content loaded within last 14 days 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

Content loaded within last 14 days A recurrent neural network-based method for training probabilistic Support Vector Machine

Authors: Yazdi, Hadi Sadoghi; Effati, Sohrab; Saberi, Zahra

Source: International Journal of Signal and Imaging Systems Engineering, Volume 2, Numbers 1-2, 19 November 2009 , pp. 57-65(9)

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

Fabrication and evaluation of captopril modified-release oral formulation

Authors: Gohel, Mukesh; Nagori, Stavan Arunkumar

Source: Pharmaceutical Development and Technology, Volume 14, Number 6, December 2009 , pp. 679-686(8)

Publisher: Informa Healthcare

Prediction of residual fatigue life under interspersed mixed-mode (I and II) overloads by Artificial Neural Network

Authors: MOHANTY, J. R.; PARHI, D. R. K.; RAY, P. K.; VERMA, B. B.

Source: Fatigue & Fracture of Engineering Materials & Structures, Volume 32, Number 12, December 2009 , pp. 1020-1031(12)

Publisher: Blackwell Publishing

Effect of combining Muller-Lyer and horizontal vertical illusions

Authors: Choudhury, Lopamudra; Aditya, Subhrangsu; Chaudhuri, Bidyut Baran

Source: International Journal of Computational Vision and Robotics, Volume 1, Number 1, 26 June 2009 , pp. 59-70(12)

Publisher: Inderscience Publishers

Content loaded within last 14 days 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

The asymptotic optimization of pre-edited ANN classifier

Authors: Wang, Kai; Yang, Jufeng; Shi, Guangshun; Wang, Qingren

Source: Soft Computing, Volume 13, Number 12, October 2009 , pp. 1153-1161(9)

Publisher: Springer

Prediction of tool wear using regression and ANN models in end-milling operation a critical review

Authors: Erdik, Tarkan; Şen, Zekai

Source: The International Journal of Advanced Manufacturing Technology, Volume 43, Numbers 7-8, August 2009 , pp. 765-766(2)

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

Artificial Bee Colony for Classification of Acoustic Emission Signal Source

Authors: Omkar, S.N.; Senthilnath, J.

Source: International Journal of Aerospace Innovations, Volume 1, Number 3, September 2009 , pp. 129-143(15)

Publisher: Multi-Science Publishing Co Ltd

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