In this paper, an underlying problem on the fast BRAIN learning algorithm is pointed out, which is avoided by introducing the quantity count (•, •). In addition, its speed advantage can still be enjoyed only at a cost of a little additional space. The improved fast BRAIN learning algorithm is also given, and the experiments on NN269 dataset validate our analysis.
Index Terms:
BRAIN, Numerical Computation, Splice Sites Prediction
Citation:
Shuo Xu, Lan Tao, Xin An, Lin Li, "A Note on the Fast BRAIN Learning Algorithm," bmei, vol. 1, pp.47-51, 2008 International Conference on BioMedical Engineering and Informatics, 2008