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In traditional ultrasonic flow measurement, temperature has great great influence on the speed of sound. To insure high accuracy and sensitivity measurement of ultrasonic flow meter, on the basis of nonlinear compensation method, temperature compensating model of ultrasonic flow measurement is established by the application of BP (Back Propagation) neural network. The system hardware structure design...
In NIR (Near Infrared) spectrum analysis NIR spectrum data is complicated, so it is difficult to analysis the NIR spectrum data. Adopting the linear processing method the data deviation will influence the measuring result. But BP neural network applying in NIR spectrum detection can effectively avoid the data deviation influence. So the paper brings the method of applying BP neural networks in NIR...
There is no standardized definition to characterize R/Bootkit that threatens kernel security of boot process in operating system. Most existing detection techniques attempt to detect the performance of it in the running stage of operating system, rather than protect kernel modules in the boot process. This paper proposes a new trust chain, where the trust root is TPM, which checks all kernel modules...
A new method to compensate the friction of robot manipulator has been proposed. Friction is a complex nonlinear force, it's structure and parameter is hard to identify. Furthermore, friction model changes wit with many factors. A BP neural network is used to learn and compensate the nonlinear friction in the inner loop and its weight is adjusted on line while working. Thus, network can learn the changes...
A new text categorization method based on singular value decomposition (SVD) and cascade correlation (CC) algorithm is proposed. Most traditional classification systems represent the contents of documents with vector space model (VSM) which represents documents with a set of index terms. However, this model needs a high dimensional space to represent the documents and it does not take into account...
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