• No results found

Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi Swarm Cooperative Particle Swarm Optimization

N/A
N/A
Protected

Academic year: 2020

Share "Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi Swarm Cooperative Particle Swarm Optimization"

Copied!
6
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1. Two different algorithms for related test results of the test functions.
Table 3. Flood disaster index and its assessment results.

References

Related documents

As Library and Information Science (LIS) education moves into the 21st century changing society where changes occur due to the emergence and advancement in Information

The 2014 Harmony Volleyball season began its season opener with the middle school Lady Tigers playing their first non-district game vs Idea Edinburgh on September 8, 2014..

Figure 15 The result of experiment – subject A ’ s right side erector spinae muscles of 5th cycles (with muscle suit (MS)) – .... Figure 16 The result of experiment – Erector

In the study, the comparison of proposed model was made against ANN based prediction technique and evaluated using five metrics: Root Mean Square Error (RMSE), Coefficient

* Degree Requirements Completed Prior to May 1982 t Degree Awarded in Absentia.. F re dericksburg, Virginia Diana Lynn Burton. Fredericksburg , Virginia Martha Faye

The results obtained from the enhanced simulation model indicate that the time of descent of the aerostat after the tether breakage is directly proportional to the

The fees at Appletree are very competitive with other child care programs in the area. Parents are responsible for tuition for those days in which their child is

 Preparation of thematic layers on groundwater controlling surface parameters like geomorphology, lithology, lineament, land use/land cover, drainage and slope