Recognition Model Based on BP Neural Network and Its Application
نویسندگان
چکیده
Abstract The BP neural network model used in data classification can change the traditional manual classification, which has disadvantages of low efficiency and subjective interference. According to principle BP, this paper determines relevant parameters structure, establishes an optimized BP. is analyze chemical composition tobacco leaves determine grade leaves. Experiments show that better recognition accuracy than KNN random forest model. It effectively improves reduces interference factors classification.
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ژورنال
عنوان ژورنال: Lecture Notes in Electrical Engineering
سال: 2022
ISSN: ['1876-1100', '1876-1119']
DOI: https://doi.org/10.1007/978-981-19-2456-9_31