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Counter-propagation neural networks in Matlab
TLDR
In this paper the implementation of counter-propagation neural networks in Matlab environment is described. Expand
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Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression
Abstract The unit cell parameters ( a , b , c ) of orthorhombic perovskites (of A 2+ B 4+ O 3 and A 3+ B 3+ O 3 type) were predicted both using multiple linear regression analysis (MLR) and two typesExpand
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Very low H -O -H bending frequencies. IV. Fourier transform infrared spectra of synthetic dittmarite
The Fourier transform infrared spectra of MgNH4PO4·H2O (the synthetic analogue of the mineral dittmarite) and of a series of its partially deuterated analogues have been studied as a part of ourExpand
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Development of models for prediction of the antioxidant activity of derivatives of natural compounds.
Antioxidants are important for maintaining the appropriate balance between oxidizing and reducing species in the body and thus preventing oxidative stress. Many natural compounds are being screenedExpand
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Examination of the influence of different variables on prediction of unit cell parameters in perovskites using counter‐propagation artificial neural networks
In this work, the unit cell parameter (a) of the series of cubic ABX3 perovskites was modeled using counter‐propagation artificial neural networks, and the influence of different input variables wasExpand
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Optimization and validation of bioanalytical SPE – HPLC method for the simultaneous determination of carbamazepine and its main metabolite, carbamazepine-10, 11-epoxide, in plasma
Carbamazepine is widely used as an antiepileptic drug in the treatment of partial and generalized tonic-clonic seizures. Carbamazepine 10,11-epoxide is the most important metabolite of carbamazepine,Expand
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Optimization of supervised self-organizing maps with genetic algorithms for classification of urinary calculi
Supervised self-organizing maps were used for classification of 160 infrared spectra of urinary calculi composed of calcium oxalates (whewellite and weddellite), pure or in binary or ternary mixturesExpand
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Prediction of toxicity and data exploratory analysis of estrogen-active endocrine disruptors using counter-propagation artificial neural networks.
TLDR
In this work, a novel algorithm for optimization of counter-propagation artificial neural networks has been used for development of quantitative structure-activity relationships model for prediction of estrogenic activity of endocrine-disrupting chemicals. Expand
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Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural
In this work, we present a novel approach for the development of models for prediction of aqueous solubility, based on the implementation of an algorithm for the automatic adjustment of descriptor'sExpand
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Seizure outcome following medical treatment of mesial temporal lobe epilepsy: Clinical phenotypes and prognostic factors
OBJECTIVE Surveys on mesial temporal lobe epilepsy (MTLE) repeatedly demonstrate that seizures are commonly resistant to antiepileptic drugs (AED), but patients usually came from third-level epilepsyExpand
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