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PREDICTION OF COTTON YARN PROPERTIES USING ARTIFICIAL INTELLIGENCE.
- 출판일1992.02
- 저자
- 서지사항
- 등록일 2016.11.02
- 조회수 216
Artificial intelligence was used to predict cotton yarn quality based on measurements of cotton fiber properties. These properties included strength, mean staple length, color, maturity, and trash content. The accuracy, usefulness, and reliably of the predictions can be increased by adding more properties. Cotton yarn quality can be defined by strength, elongation, twist, neps, count variation, and other properties. Assistant Professional, an expert system designed in Yugoslavia, was used to develop a model of the cotton yarn spinning process and to relate input/output data for planning and production. 15 refs.
