![]() We outline the necessary CBR algorithm and show that this approach is not dominated by the OLP network. ![]() The training and generalization of the network are accomplished by an ensemble of case-based reasoning (CBR) heuristics. The architecture of the OLP neuron, the size of the training data, and the parameters of the OLP algorithm are all designed to make the network’s learning-time and memory requirements small. These classes are alpha/beta barrel, alpha helix, beta sheet, alpha helix-beta sheet, and unclassified. The network, which contains five one-hidden-layer perceptron (OLP) neurons, is designed to recognize each of the three classes of protein fold identified by alpha-carbon torsion angle (alphaCA). This paper describes an artificial neural network for predicting protein fold from its amino acid sequence. Prediction of protein fold using a neural network and case-based reasoning. Open the file in Wordpad or a similar text editor and copy and paste this into the window on the page: You must use JavaScript to make it happen. How can I get the extra sentences at the bottom of this page. ![]() Php Generator Mysql Professional Edition Crackl Php Generator Mysql Professional Edition !FREE! Crackl □
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