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In this paper we implemented the method wavelet based fractional Gaussian noise WBFGN for the generation of self-similar network traffic, which is an increment process of fractional Brownian motion (Abry and Sellan, 1996). A large collection of self-similar sequences were generated and a big Bank of data SSTDB was created and uploaded for the reference of communication scientists and other IT experts...
Due to recent financial cries, changing global economic, business, geographic conditions, and regulatory concerns, financial intermediaries' credit rating assessment is an area of soaring interest in both the academic world and the business community. In this work, we propose a new fuzzy support vector machine (FSVM) to discriminate different financial strength credit rating classifications of financial...
Using neural network, we try to model the unknown function/for given input-output data pairs. The connection strength of each neuron is updated through learning. Repeated simulations of crisp neural network produce different values of weight factors that are directly affected by the change of different parameters. We propose the idea that for each neuron in the network, we can obtain reduced model...
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