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This paper analyzes global robust exponential stability of interval bidirectional associative memory (BAM) neural networks with multiple time-varying delays, proposes a direct method based on system solutions, and gives sufficient conditions under which interval BAM neural networks have a unique and globally robustly exponentially stable equilibrium point. This method not only avoids the difficult to set up any Lyapunov-Krasovskii functional, but also derives simpler global robust exponential stability criteria. Compared with the data from other literature, the robust exponential stability criteria obtained in this paper have been presented to have more merits theoretically and numerically.
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OBJECTIVE: To find out the influence of differences pruning on Lonicerea Japonicae Flos on it's yield and quality, and provide reference for reasonable pruning. METHOD: Using different pruning treatments, the growth and yield and chlorogenic acid and galuteolin contents of Lonicerea Japonicae Flos were measured and compared. And the source and sink theory were used to interpret the rationality of the best way. RESULT: There existed significant differences in the growth and branching and yield at differences pruning methods, but not including chlorogenic acid and galuteolin contents of Lonicerea Japonicae Flos. CONCLUSION: The best pruning treatments is in shearing.
