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Yarn quality prediction plays an important role in modern textile production management. Due to the nonlinearity and non-stationarity of yarn quality indicator series, the accuracy of the commonly used conventional methods, including regression analyses and artificial neural networks (ANN), has been limited. A prediction model based on support vector regression (SVR) is proposed in this paper to solve...
In intensive aquaculture, the growing state of aquaculture organisms is affected by many factors. Among these factors, the quality of aquaculture water has a full impact on the growth of aquaculture organisms. High quality waters will be more conducive to the aquaculture organisms' growth. It can enhance the economic value of the aquaculture, and plays an important role in the aspect of developing...
Measuring ammonia-nitrogen in the aquaculture water is always a problem that how to carry out the on-line monitoring in the process of industrialized culture. There isnpsilat a more effective method to realize the real time on-line monitoring at present. Some even need expensive instruments and operators having high skills. The normal methods can only be performed in the laboratory, so it canpsilat...
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