This paper aims to optimize the machining parameters of drilling process woven-glass-fiber reinforced epoxy (WGFRE) composites. It will focus on modeling and optimizing drill spindle speed feed with different laminate thicknesses, respect torque delamination factor. The response surface analysis artificial neural networks are utilized model evaluate effect control their interaction outcomes. pa...

( ) ABSTRACT: Artificial neural networks ANN recently gained attention as a fast and flexible vehicle to microwave modeling and design. Fast neural models trained from measured simulated microwave data can be used during microwave design to provide instant answers to the task they have learned. We review two important aspects of neural-network-based microwave modeling, namely, model development...

Data splitting is an important step in the artificial neural network (ANN) development process whereby data are divided into training, test and validation subsets to ensure good generalization ability of the model. Considering that only one split of data is typically used when developing ANN models, data splitting has a significant impact on the performance of the final model by potentially int...

p2x 7 antagonist activity for a set of 49 molecules of the p2x 7 receptor antagonists, derivatives of purine, was modeled with the aid of chemometric and artificial intelligence techniques. the activity of these compounds was estimated by means of combination of principal component analysis (pca), as a well-known data reduction method, genetic algorithm (ga), as a variable selection technique, ...

In this paper a design technique for a Hairpin-Line narrow band Microstrip Bandpass filters is presented by using the artificial neural network (ANN) modeling method at mid-band frequency 2.2 GHz for S-band applications which give minimum insertion loss (S21) of 0.2954 dB and maximum return loss of 27.4 dB in the passband. Consequently an artificial neural network model is developed to observe ...

Modeling of regulating system of large pumped storage power station with long pipeline and parameters optimization in transient processes are studied in this paper. According to the actual parameters of a certain pumped storage power station, MATLAB/Simulink toolbox is utilized for modeling and simulation of its subsystems. Friction resistance coefficient and water elasticity are taken into con...

Artificial neural network (ANN) analysis was used to predict the skin permeability of selected xenobiotics. Permeability coefficients (log k(p)) were obtained from various literature sources. A previously reported equation, which was shown to be useful in the prediction of skin permeability, uses the partial charges of the penetrants, their molecular weight, and their calculated octanol water p...