The welfare implications and economic value of the enso forecasts are evaluated based on a straightforward application of the bayesian decision theory 本研究首先利用最小平方法及歷史資料探討不同圣嬰現(xiàn)象對稻米產(chǎn)量的影響,發(fā)現(xiàn)反圣嬰造成的影響較圣嬰年為大。
Probabilistic neural network ( pnn ) is a classification network , which is based on bayesian decision theory and probability function estimation theory D . f . specht提出的概率神經(jīng)網(wǎng)絡(luò)( probabilisticneuralnetwork , pnn )是基于密度函數(shù)估計和貝葉斯決策理論而建立的一種分類網(wǎng)絡(luò)
After analyzed the defaults of the fault dictionary method , several techniques to enhance the capability of the d . c . fault dictionary are presented . these include 1 ) using monte carlo analysis to get the node voltage tolerance , 2 ) using bayesian decision theory to direct the fuzzy set dividing , 3 ) selecting nodes by the fuzzy sets , 4 ) using the fault tree to diagnose the circuit ' s fault with varied sum of nodes 文中分析了字典法存在的問題,提出了改進方法,其中包括:用蒙特卡羅法求各節(jié)點電壓的容差域;用貝葉斯決策理論來指導(dǎo)模糊集劃分;以模糊集為特征進行節(jié)點優(yōu)選;依故障診斷樹進行變節(jié)點診斷。