Neural Fuzzy Techniques in Vehicle Acoustic Signal Classification (ResearchIndex)

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Neural Fuzzy Techniques in Vehicle Acoustic Signal Classification (Make Corrections)
Somkiat Sampan

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Abstract: Vehicle acoustic signals have long been considered as unwanted traffic noise. In this research acoustic signals generated by each vehicle will be used to detect its presence and classify its type. Circular arrays of microphones were designed and built to detect desired signals and suppress unwanted ones. Circular arrays with multiple rings have an interesting and important property that is constant sidelobe levels. A modified genetic algorithm that can work directly with real numbers is used in ... (Update)

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BibTeX entry: (Update)

@misc{ sampan-neural,
  author = "Somkiat Sampan",
  title = "Neural Fuzzy Techniques in Vehicle Acoustic Signal Classification",
  url = "citeseer.ist.psu.edu/642694.html" }

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