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Aiming at the shortages of the existing data-mining model for forecasting the industry security, a classification model based on rough sets and BP neural network (BPNN) is put forward in this paper. First, the theory of rough set is applied to pick up and reduce the index attributes. Then, the training samples are sent to the BPNN to train and learn. After that, the sorts of the coal industry security...
Based on analyzing the current way of evaluating the credit risk, BP neural network (BPNN) is used in the paper. BPNN is powerful for the problem with non-linear and high dimension. A multi-class BPNN model is constructed to measure the credit sales risk. In this model, dominant factors affecting the credit sales risk are the input vectors and the credit risk is divided into five grades. Through a...
Analog circuit synthesis is a very important step of analog design automation flow. Due to the great effects on circuit performance degradation from the parasitic, it is a great time-consuming task, especially when the feature size is becoming smaller and smaller, operation frequency is becoming higher and higher, and the circuit scale is becoming larger and larger. In this paper, we present a parallel...
SPICE model is one of the key technical connections between the integrated-circuit technology community and the design community. Design community requires accurate SPICE model parameters so as to make the difference between design spec and practical spec minimized as possible. To get accurate model parameters, optimization algorithms are used for parameter extraction. A parallel hybrid evolutionary...
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