http://lakm.us/thesit computer science research log in semi microbloging style Tue, 24 Aug 2010 21:34:55 +0000 http://wordpress.org/?v=2.9 en hourly 1 http://lakm.us/thesit/114/prediction-of-surface-tension-of-organic/ http://lakm.us/thesit/114/prediction-of-surface-tension-of-organic/#comments Thu, 31 Dec 2009 01:35:55 +0000 Arif http://xp-racy.lan/s2/?p=113 Prediction of Surface Tension of Organic Liquids Using Artificial Neural Networks
D. Kumar, S. Gupta and S. Basu. Indian Chem Engr., Section A, Vol. 47, No. 4, October – December 2005.
A forward-feed back propagation neural network, based on the Levenberg-Marquardt optimization and gradient descent with momentum weight and bias method was used. The input parameters, e.g., density, refractive index and parachor, to the neural network were chosen from the previous studies on theoretical prediction of surface tension.
pstoluann.pdf

]]> http://lakm.us/thesit/114/prediction-of-surface-tension-of-organic/feed/ 0 http://lakm.us/thesit/28/application-of-artificial-neural-network/ http://lakm.us/thesit/28/application-of-artificial-neural-network/#comments Sun, 20 Dec 2009 08:15:14 +0000 Arif http://xp-racy.lan/s2/?p=28 Application of Artificial Neural Network to Simultaneous Spectrophotometric Determination of Lead(II) and Mercury(II) Based on 2-(5-Bromo-2-Piridylazo)-5-Diethylaminophenol
Azizul Isha, Nor Azah Yusof, Mazura Abdul Malik, Hazlina Hamdan. Malaysian Journal of Chemistry, 2006, Vol. 8, No. 1, 072 – 079
…A feed forward neural network using back-propagation algorithm: input layer: 13 neurons, 10 hidden layer neurons; output layer: 2 neurons…
MJC8_072-079.pdf

]]> http://lakm.us/thesit/28/application-of-artificial-neural-network/feed/ 0