Development of Neural Network for Incomplete Data Set, CQSAR: Compensation Quantitative Structure-Activity Relationships

التفاصيل البيبلوغرافية
العنوان: Development of Neural Network for Incomplete Data Set, CQSAR: Compensation Quantitative Structure-Activity Relationships
المؤلفون: Tomoo Aoyama, Hidenori Umeno, Junko Kambe, Umpei Nagashima
المصدر: Journal of Computer Chemistry, Japan. 6:263-274
بيانات النشر: Society of Computer Chemistry Japan, 2007.
سنة النشر: 2007
مصطلحات موضوعية: Quantitative structure–activity relationship, Artificial neural network, business.industry, Computer science, Quantitative structure, computer.software_genre, Machine learning, Compensation (engineering), Data set, Probabilistic neural network, Development (topology), Data mining, Artificial intelligence, business, computer
تدمد: 1347-3824
1347-1767
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7ed8cba033cc4ff5ef25f902b9540190
https://doi.org/10.2477/jccj.6.263
حقوق: OPEN
رقم الأكسشن: edsair.doi...........7ed8cba033cc4ff5ef25f902b9540190
قاعدة البيانات: OpenAIRE