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This paper provided an energy saving process of uniform restricted aeration, analyzed the dynamic characteristic and conducted experimental test on tanning waste water. Results show that the microorganism activity have been improved greatly by enhancing the mass transfer. Under the conditions of inlet CODCr 427-750mg/L, BOD5 ranges from 224mg/L to 396mg/L, the outlet water is higher than industry...
Slot leakage electromagnetic field is a complex electromagnetic theory problem, and it's very difficult to exactly describe the distribution of field in analytic way. As a result, the analysis of electromagnetic interference (EMI) becomes the difficult point of electromagnetic compatibility (EMC) field. This paper will take the DC motor controller for electric forklift as the experimental circuit...
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...
By proposing a computational algorithm, this paper gives the upper bound on the number of hidden neurons to realize multi-valued functions defined on N-points. The architecture of the network is three-layer feedforward neural network with one hidden layer. The network is composed of multi-valued multi-threshold neurons. This upper bound can help us to determine the size of network when we design learning...
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...
We consider the multi-valued discrete real training set that can not be separated by one multi-valued multi-threshold neuron. Such training set is defined as linearly nonseparable set in this paper. Our objective is to use multi-valued multi-threshold neural networks to learn nonseparable training sets. First we give the method that how to determine a training set is separable or nonseparable (i.e...
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...
The research on information hiding theory is drawing more and more enthusiasm in recent times. This paper tries to solve theoretical problems about information hiding using vector space methods. Firstly, we project information hiding system into vector space. Then we give the significations of imperceptibility, embedding intensity, attack intensity and robustness in multi-dimension space. Subsequently,...
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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