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Based on rough set and basic theory of data fusion, the data fusion algorithm combining rough set theory and BP neural network is studied. Since rough set theory can effectively simplify information, cut down the tagged dimension . This paper will be rough set theory and neural networks combined, using channel capacity of knowledge relative reduction algorithms to simplify the input information. Rough...
Estimating the number of hidden neurons required for the implementation of an arbitrary function is a fundamental problem of neural networks. This paper presents the lower bound on the number of hidden neurons in three-layer multi-valued multi-threshold neural networks for implementation of an arbitrary q-valued function defined on a set of N-point with n-dimension (N??qn). This result can be applied...
The reaction discussed in this paper is a complicated, multi-phase-catalyzed batch reaction to produce phenyl-pyretic acid by double carbonylation of benzyl chloride. In order to industrialize the production process, a significant engineering problem is to study the operation and control of this batch process. The first stage of study in this paper is to process the experimental data, then to build...
Quantum artificial neural network (QANN) is one of the new paradigms built upon the combination of classical neural and quantum computations. It has great values for theoretic study and potentials to applications. In this paper, an intrinsic similarity of quantum theory and artificial neural network (ANN) theory has been highlighted and analyzed. The dynamic features of QANN are also discussed in...
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