It have been one open and significant topic for real-time applications to enhance the processing-speed of Boltzmann machines for long time. One effective way of solution of this problem is the augmentation of probability of neurons' state move. In this paper, a novel method, called a rejectionless method, was proposed and introduced into the Boltzmann machines for this augmentation. This method has a feature of independence on the ratio of neurons' state move. The efficiency of this method for speed-up was confirmed with the experiments of TSP and graph problem.

This paper proposed a novel intelligent intrusion detection, decision, response system with fuzzy theory. This system utilized the two essential informations: times and time, of the failed login to decide automatically whether this login is a misuse user as alike as experienced system/security administrators. The database of this system isn't preestablished before working but is built and updated automatically during working. And this system is not only notification system but gives the exact and rapid decision and response to a misuse.