1前言
甲状腺癌在世界范围内发病率逐年上升，根据2014年美国监测、流行病学及预后项目（Surveillance，Epidemiology，and End Results Program，SEER）数据，其发病率为12．90／10万，肿瘤相关死亡率为0．50／10万，5年总生存率为97...1前言
甲状腺癌在世界范围内发病率逐年上升，根据2014年美国监测、流行病学及预后项目（Surveillance，Epidemiology，and End Results Program，SEER）数据，其发病率为12．90／10万，肿瘤相关死亡率为0．50／10万，5年总生存率为97．80％，其中病灶局限于甲状腺内的患者5年生存率达99．90％，而伴有远处转移的患者则降至54．70％。展开更多
The application of artificial neural network for pharmaceutical nondestructive quantitative analysis was investigated. The real data set from near infrared reflectance spectra of trimethoprim powder pharmaceutical wer...The application of artificial neural network for pharmaceutical nondestructive quantitative analysis was investigated. The real data set from near infrared reflectance spectra of trimethoprim powder pharmaceutical were used to built up artificial network to predict unknown samples. The factors affecting network were discussed. A new network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calibration nature of ANN, the predicted result was reliable. [WT5HZ]展开更多
文摘1前言
甲状腺癌在世界范围内发病率逐年上升，根据2014年美国监测、流行病学及预后项目（Surveillance，Epidemiology，and End Results Program，SEER）数据，其发病率为12．90／10万，肿瘤相关死亡率为0．50／10万，5年总生存率为97．80％，其中病灶局限于甲状腺内的患者5年生存率达99．90％，而伴有远处转移的患者则降至54．70％。
文摘The application of artificial neural network for pharmaceutical nondestructive quantitative analysis was investigated. The real data set from near infrared reflectance spectra of trimethoprim powder pharmaceutical were used to built up artificial network to predict unknown samples. The factors affecting network were discussed. A new network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calibration nature of ANN, the predicted result was reliable. [WT5HZ]
