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When designing the structure of an artificial neural network (ANN), it is very important to determine the architecture and parameters of the network such as number of units and layers. This paper uses the Taguchi method and Design of Experiment (DOE) methodology to optimize the network parameters. The users have to identify the application problems and choose a suitable ANN model. Then, the optimization...
The amount of multimedia sources from websites is extremely growing up every day. How to effectively search data and to find out what we need becomes a critical issue. In this work, four affective modes of exciting/happy, angry, sad and calm in songs and speeches are investigated. A song clip is partitioned into the main and refrain parts each of which is analyzed by the tempo, normalized intensity...
Heat shock protein 90 (HSP90) regulates the correct folding of nascent protein in tumor cells. Through the ATPase domain of HSP90, inhibition of its activity is a manipulation for anticancer treatment. Two series of anticancer compounds, flavonoids and YC-1 derivatives, were employed in this study. The reference ligand in the docking simulation showed the significant RMSD of 0.87 with respect to the...
Various potent anti-cancer compounds, defined as group A, B, D, and YC-1 derivatives, were recruited for the simulation trails of selective inhibition to human cyclooxygenase-2 (COX-2). From our modeling, Leu530 and Ile522 would lead to the COX-1 binding site with a tunnel-like configuration. Compounds of group B would be suitable in the lobby of COX-1. In contract, the larger compounds, group A,...
An artificial-neural-networks-based in-process tool wear prediction (ANN-ITWP) system has been proposed and evaluated in this study. A total of 100 experimental data have been received for training through a back-propagation ANN model. The input variables for the proposed ANN-ITWP system were feed rate, depth of cut from the cutting parameters, and the average peak force in the y-direction collected...
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