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In the traditional flatness pattern recognition neural network, the topologic configurations need to be rebuilt with a changing width of cold strip. Furthermore, the large learn assignment, slow convergence, and local minimal in the network are observed. Moreover, going by the structure of the traditional neural network, according to experience, it has been proved that the model is time-consuming...
Reseeding is an effective method to reduce test redundancy, i.e., to reduce test length in Built-in Self-test (BIST) design. In general reseeding method, the seeds were saved in a ROM, however, bringing about higher hardware overhead. Managed by Test Access Port (TAP) controller, an improved resseding method proposed in this paper adopts boundary scan architecture to reseed the test pattern generation...
It is a key problem to represent properly the knowledge in space decision support system. The knowledge has the character of multi-dimension, fuzzy and randomcity in uncertain problems on space decision. In order to improve the ability of dealing with uncertain problems in space decision support system the representation and induction based on cloud model is proposed in this article. Firstly the multi-dimension...
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