gamlet
Hi guys!
I am new to seismology, but i am very interested in earthquake prediction. I read that the main idea of prediction algorithms, is to compose few or more or less seismic premonirory patterns (of cource we need parameters of patterns and the algorithm).
Now i am writing a library (software) which aims to make proccess of discovering seismic premonitory patterns and their parameters more efficient. For now it can estimate a simillarity of a seismic activity preceding to a big earthquake. But it's only a beginning.
I would like to now your ideas (opinions), about what pattern recognition techniques should i add in it, or other techniques. What know patterns should i add in it (to estimate their effective parameters). Maybe should i use other techniques.
Any ideas?
I am new to seismology, but i am very interested in earthquake prediction. I read that the main idea of prediction algorithms, is to compose few or more or less seismic premonirory patterns (of cource we need parameters of patterns and the algorithm).
Now i am writing a library (software) which aims to make proccess of discovering seismic premonitory patterns and their parameters more efficient. For now it can estimate a simillarity of a seismic activity preceding to a big earthquake. But it's only a beginning.
I would like to now your ideas (opinions), about what pattern recognition techniques should i add in it, or other techniques. What know patterns should i add in it (to estimate their effective parameters). Maybe should i use other techniques.
Any ideas?
