select ad.sno,ad.journal,ad.title,ad.author_names,ad.abstract,ad.abstractlink,j.j_name,vi.* from articles_data ad left join journals j on j.journal=ad.journal left join vol_issues vi on vi.issue_id_en=ad.issue_id where ad.sno_en='17274' and ad.lang_id='8' and j.lang_id='8' and vi.lang_id='8' Application of Grey Neural Network in Vehicle Vibration Pred | 17274
ऑटोमोबाइल इंजीनियरिंग में प्रगति

ऑटोमोबाइल इंजीनियरिंग में प्रगति
खुला एक्सेस

आईएसएसएन: 2167-7670

अमूर्त

Application of Grey Neural Network in Vehicle Vibration Prediction

Zhendong Zhao and Rongdong Yin

Considering the theoretical characteristics of grey system method and neural network, a grey neural network prediction method was proposed by combining the grey prediction model and the neural network in order to improve the accuracy of vehicle vibration prediction. On the purpose of verifying the proposed model, the vibration data of several measuring points under different traveling speed of a pick-up truck were both tested in an experimental way and predicted in a theoretical way. The results show that it is feasible to apply the proposed grey neural network prediction method to calculate the vehicle vibration data, which improves the prediction accuracy effectively.

अस्वीकरण: इस सार का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया था और अभी तक इसकी समीक्षा या सत्यापन नहीं किया गया है।
Top