'Artificial neural' presentation slideshows

Combining DFT and QSAR result for predicting the biological activity of the phenylsuccinimide derivatives

Study 3D-QSAR is applied to a set of 57 molecules based on N-phenylsuccinimides using the principal component analysis (PCA) method, the multiple linear regression method (MLR) and the artificial neural network (ANN). The predicted values of activities are in good agreement with the experimental results. The artificial neural network (ANN) techniques, considering the relevant descriptors obtained from the MLR, showed a correlation coefficient of 0,9 with an 8-20-1 ANN model which is a good result. As a result of quantitative structure-activity relationships, we found that the model proposed in this study is constituted of major descriptors used to describe these molecules. The obtained results suggested that proposed combination of several calculated parameters could be useful in predicting biological activity of N-phenylsuccinimides derivatives.

128 views • 12 slides

An Artificial Neurol Network (ANN) is a computational model. It is based on the structure and functions of biological neural networks. It works like the way human brain processes information. ANN includes a large number of connected processing units that work together to process information. They also generate meaningful results from it.

91 views • 7 slides

Artificial Neural Network in Data Mining

The term neural network is usually known as the models employed in statistics and artificial intelligence.

52 views • 4 slides