Research Article
Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods
| Input: set of Q matrices : input data, J: number of basis components | | Output: factor and set of factors | | Such that the suitable cost functions are minimized. | | begin | | l = 0 /∗ number of layers ∗/ | | | | repeat | | | | Initial randomly | | /∗ Minimize alternatively with suitable cost functions ∗/ | | | | | | | | until a stopping criterion is met /∗ convergence condition ∗/ | | | | end |
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