基于自适应核密度的贝叶斯概率模型岩性识别方法研究
蔡泽园1,2,3(
), 鲁宝亮1,2,3(), 熊盛青4, 王万银1,2,3
), 鲁宝亮1,2,3(), 熊盛青4, 王万银1,2,3
Lithology identification based on Bayesian probability using adaptive kernel density
Ze-Yuan CAI1,2,3(), Bao-Liang LU1,2,3(), Sheng-Qing XIONG4, Wan-Yin WANG1,2,3
), Bao-Liang LU1,2,3(), Sheng-Qing XIONG4, Wan-Yin WANG1,2,3
图10. 预测分类结果
a~f依次为概率差在10%、20%、30%、40%、50%、60%时的分类结果
Fig.10. Forecast classification results
a~f are the classification results when the probability difference is 10%, 20%, 30%, 40%, 50% and 60% respectively
