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Several researches published about artificial neural networks are connected with military problems. This research put forward ideas connected with the processing of military information to search and identify targets-automatic target recognition (ATR). A main-purpose automatic target recognition system did not exist. The research put forward here was demonstrated on military data, however it could...
In order to have fault diagnosis for centrifugal compressor correctly, the times series analysis with neural network was carried out for it. The theory model of time series analysis method was put forward firstly, and the autoregressive coefficients diagnosis method was discussed then. And the neural network diagnosis method with AR coefficients was put forward at last. And the fault diagnosis results...
Human mitochondrial proteins are involved in fundamental biological process including apoptosis, energy production and many metabolic pathways, prediction of mitochondrial proteins is a major challenge in genome annotation. In this study, we implemented a machine learning approach and developed reliable neural network and SVM based methods to classify human mitochondria proteins with high confidence...
On the basis of dynamic equations of neural networks, the stabilizing time and the computing precision in the neurocomputation of elastic problem are analyzed both theoretically and numerically. The simulation results show that there are effects of capacity C, amplifying gain beta on the stabilizing time, and the resistance R, penalty coefficient alpha on the precision. But because solving time is...
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