MINLITH - an experience-based algorithm for estimating the likely mineralogical compositions of sedimentary rocks from bulk chemical analyses.
Oleg M. RosenAli A. AbbyasovJohn C. TipperPublished in: Comput. Geosci. (2004)
Keyphrases
- convergence rate
- experimental evaluation
- times faster
- k means
- dynamic programming
- theoretical analysis
- computationally efficient
- probabilistic model
- hardware implementation
- detection algorithm
- simulated annealing
- high accuracy
- learning algorithm
- computational cost
- cost function
- preprocessing
- face recognition
- image processing