The Parameters Design for Disintegrate production using Artificial Intelligence
碩士 === 元智大學 === 資訊管理學系 === 95 === In general, to control the working conditions under production will adopt trial and error method or simply judge by the existing experience, which is quite time or labor consuming and even wasting plenty of resources. Disintegrate will affect the disintegration, dis...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/67662181824257183435 |
| Summary: | 碩士 === 元智大學 === 資訊管理學系 === 95 === In general, to control the working conditions under production will adopt trial and error method or simply judge by the existing experience, which is quite time or labor consuming and even wasting plenty of resources. Disintegrate will affect the disintegration, dissolution and abstraction of the medicine and have significant effect to the medicinal virtues of it. The main purpose of this study is trying to find out the best production condition of Disintegrate. By using artificial neural network firstly to observe the relationship between the productive factors and its setting volume under production process of croscarmellose sodium. Based on the above production result then using Genetic Algorithm to conclude the best production process so as to make Disintegrate in different grade in the mean time to restrict the factors during production as per production requirement.
As according to the report from laboratory, comparing the setting volume of those precisely analyzed by artificial intelligence and those actually obtained from the production, the deviation is quite small and negligible. Consequently, the above method is good enough to improve the production process of Disintegrate.
|
|---|