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A new model is introduced in this paper to construct the input-output relation in the prediction and control problem of non-analytic systems. The historical input-output data of general system is de-noised with wavelet transformation and SVM, and the input-output variables which can reflect the features of the system are determined with correlation analysis and sensitivity analysis. With the historical...
This paper presents a description of the principal aspects employed in the development of a speaker verification system based on a Spanish corpus. The main goal is to obtain classification results and behavior using Support Vector Machines (SVM) as the classifier technique. The most relevant aspects involved in developing a Spanish corpus are given. For the front end processing a novel method to suppress...
In recent years disputed authorship in source code has been congruently neglected after detection of plagiarism has been heatedly debated for a long period, theoretical and feasible measures have been taken to weight its property. In this paper, according to existence of individual but distinct programming style, the authors, with aid of SVM (support vector machine), one tool of neural networks and...
The environment is the key to the success of real estate investment. Therefore, it is very important for the investment environment evaluation of real estate. Firstly, the basic theory of support vector machine for regression (SVR) was introduced, and then a SVM to evaluate the investment environment of real estate was built. Through simulating and comparing with the method of BP neural network, the...
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