• No results found

The Fuzzy Neural Network Model of Smart Grid Risk Evaluation Based on Bayes

N/A
N/A
Protected

Academic year: 2020

Share "The Fuzzy Neural Network Model of Smart Grid Risk Evaluation Based on Bayes"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1.  The logic block diagram of input variables adaptively selected based on Bayes
Figure 2.  Typical schematic diagram of BP neural network with 3 layers.
Figure 3. The risk index-evaluation system.
TABLE II.  INPUTTING SAMPLES

References

Related documents

RETRIEVE DATA Site Information Constituent Finder Ground Water Surface Water/ Bed Sediment Mixed (SW & GW) Animal Tissue Daily Stream Discharge Bio Community

findings raise the interesting issue of the possible awareness-raising effects of strategy instruction. A surprise result, however, was the short-term rise in the frequency

DOOR DOUBLE PORTCULLIS SECRET STATUE FIREPLACE PILLAR STAIRS SPIRAL TRAPDOOR PENTAGRAM PIT BARS POOL FALSE COVERED STAIRS SECRET TRAPDOOR TRAPDOOR CURTAIN ONE ONE DAIS ALTAR 3YMBOLS

5A, a probe designed to detect transcripts derived from the convergent SSR between genes Tb927.7.1940 and Tb927.7.1950 (probe A), hybridized with two RNA species of 4.8 kb and 2.8 kb

In the past, in order to track goods in pawn shops, a few municipalities in Nova Scotia required that pawnbroker businesses report their transactions in written form to the

Isolation of anaerob thermophilic bacteria from Gedong Songo hot spring 1 (GS 1) Ambarawa had been done in SP (Sucrose Peptone), LMM (Lactose Minimal Media) and

This work aimed to study the effects of BDE-47 and BDE-99 congeners on the chitobiase and chitinolytic enzymes activities of the freshwater amphipod Gammarus pulex, according to

In particular, we compare the results at extremely low temperature with the entanglement entropy result of SYK model studied by using exact diagonalization for finite size systems