Design of neural predictor for noise analysis of passenger car's engines

Yildrim S., Erkaya S., ESKİ I., UZMAY I.

JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, vol.67, no.5, pp.340-347, 2008 (SCI-Expanded, Scopus)

  • Publication Type: Article / Article
  • Volume: 67 Issue: 5
  • Publication Date: 2008
  • Journal Name: JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.340-347
  • Erciyes University Affiliated: Yes

Abstract

This paper presents noise analysis of passenger cars using artificial neural networks (ANNs). The research covers experimental analysis of car’s engines and simulation analysis of noise parameters using ANNs. Radial Basis Neural Network (RBNN) type gives superior performance for predicting noise of cars.
This paper presents noise analysis of passenger cars using artificial neural networks (ANNs). The research covers experimental analysis of car's engines and simulation analysis of noise parameters using ANNs. Radial Basis Neural Network (RBNN) type gives superior performance for predicting noise of cars.