• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.477-484
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• 2001

This paper proposes a hybrid learning algorithm combined momentum and kernel-adatron for improving the performance of regression support vector machine. The momentum is utilized for high-speed convergence by restraining the oscillation in the process of converging to the optimal solution, and the kernel-adatron algorithm is also utilized for the capability by working in nonlinear feature spaces and the simple implementation. The proposed algorithm has been applied to the 1-dimension and 2-dimension nonlinear function regression problems. The simulation results show that the proposed algorithm has better the learning speed and performance of the regression, in comparison with those quadratic programming and kernel-adatron algorithm.

• The Korean Journal of Mycology
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• v.11 no.2
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• pp.79-84
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• 1983

To study physiological and ecological characters of the secondary mycelia of Armillariella mellea, it was cultivated on the various media. It was grown very well on the malt extract medium compared with its growth on yeast extract medium, potato dextrose medium and Hamada medium. The temperature of $27^{\circ}C$ gave the best condition for it to grow. The highest rate of growth was shown in medium of pH 6. Heteroauxin of 5 ppm concentration showed a increase as 26.2% in growth in compared with the control group. Gibberelline 10ppm, Tomatoton of 10,000 dilution and Adoton of 5,000 dilution showed positive effect. It was shown that the use of above hormones in appropriate concentration brought the effect of growth, but overuse of them brought inhibitory effect. Under the same condition of 200ppm concentration, vitamin A gave the highest growth of 18.2% than that of the control used.