提出中藥質(zhì)量的人工神經(jīng)網(wǎng)絡(luò)評(píng)價(jià)方法，并對(duì)中藥厚樸按其氣相色譜分析得到的各組分相對(duì)含量，運(yùn)用該方法作了嘗試，成功率達(dá)100％。結(jié)果表明，神經(jīng)網(wǎng)絡(luò)方法性能好，可望成為中藥質(zhì)量評(píng)價(jià)的有效手段。

An artificial neural network method for quality estimation of traditional Chinese medicine was suggested, and quality of Hou-Po was estimated by the proposed method in comparison with the analytical results of gas-liquid chromatography. The successful rate reached 100%. The results showed that the neural network method is reliable, and therefore may be referred to as an effective technique for the quality estimation of traditional Chinese medicine.