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Grade classification of seed cotton is a major problem that has an significant impact on the agricultural economy. According to characteristics like impurities, yellowness and brightness that extract from images of seed cotton, constructing classification model of seed cotton base on the least square method. Using support vector machine regression to come up with a well improved algorithm. After full...
Data of protein-protein interactions derived from High-throughput technologies are often incomplete and fairly noisy. Therefore, it is very important to develop computational methods for predicting protein-protein interactions. A sequence-based method is proposed by combining support vector machine and a new feature representation using Geary autocorrelation. SVM model trained with Geary autocorrelation...
A new support vector machine (SVM) approach with fuzzy rules decisions is proposed for grout stratum identification, which integrates with SVM and fuzzy systempsila s merits. SVM is a novel machine tool and fuzzy Takagi-Sugeno model is easy to process uncertain system. Through defining lambda -sigmoid fuzzy function, we put forward SVM decision function rules-based expression and proved they are consistent...
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