Principal component-genetic algorithm-multiparameter linear regression (PC-GA-MLR) and principal component-genetic algorithm-artificial neural network (PC-GA-ANN) models were applied for prediction of melting point for 323 drug-like compounds. A large number of theoretical descriptors were calculated for each compound. The first 234 principal components (PC’s) were found to explain more than 99...

One of the key morphological changes associated with the nerve growth factor (NGF)-induced differentiation of rat adrenal pheochromocytoma (PC-12) cells is the growth of axon-like processes called neurites. A growing body of evidence suggests that this process may be dependent upon plasmin, a serine protease generated from plasminogen (Plg) by either urokinase Plg activator (u-PA) or tissue Plg...

The process parameters of FDM manufacturing technology are very important for obtaining high quality parts, good mechanical properties. Several optimization techniques used such as Response surface methodology, Taguchi method, FF, ANN etc. much research work has been carried out in ABS, PC, PPSF, Nylon-12, PC-ABS blend for optimizing process parameters to identify improved surface roughness, me...

This paper describes a new approach of modeling visual speech, based on an artificial neural network (ANN). The network architecture makes possible a fusion of linguistic expert knowledge into the ANN. Goal is the development of a computer animation program as a training aid for learning lip-reading. The current PC version allows a synchronization of the animation program with a special stand-a...

a sensitive and selective method using combination of two chemometrics methods, principal component analysis (pca) and artificial neural network (ann), and uv-visible spectroscopy has been developed for the determination of indomethacin (idm) in plasma samples . initially the absorbance spectra were processed using pca to noise reduction and data compression. the scores of these pcs were used a...

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