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Trichinella spiralis is a zoonotic nematode and food borne parasite and infection with T. spiralis leads to suppression of the host immune response and other immunopathologies. The excretory/secretory (ES) products of T. spiralis play important roles in the process of immunomodulation. However, the mechanisms and related molecules are unknown. Macrophages,(More)
A Minimum Mean Squared Error (MMSE) controller based on RBF neural network has been developed as a new EPC strategy used in an integrated SPC and EPC system for process adjusting and monitoring. The application example used in chemical production process which is an AR(2) model shows that method can effectively reduce the process variations, then SPC(More)
Aimed at an integration system of SPC (statistical process control) and APC (automatic process control), the effect of APC on SPC detection capability is analyzed. In this paper, the process disturbance is assumed to be an ARMA (1, 1) process. BP Neural Network with good capability of mode identification is used to substitute traditional SPC technology.(More)
The paper researches online assessment and fault diagnosis method of running transformer based on the BP neural network. The six types of gas content data: H<sub>2</sub>, CH<sub>4</sub>, C<sub>2</sub>H<sub>4</sub>, C<sub>2</sub>H<sub>2</sub> and CO, is the input of BP neural network. There are seven kinds of failure: low-energy discharge, high-energy(More)
This paper proposes a feed-forward neural network predictor to adaptively estimate and suppress the narrowband interference (NBI) in the Direct Sequence-Code Division Multiple Access (DS-CDMA) signal. The iterative code-aided estimation is used to further improve the system performance. Simulation results reveal that the proposed algorithm outperforms(More)
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