Arntsen O, Koren H, Strøm T
Buskerud College, Faculty of Engineering, Department of Computer Science, Kongsberg, Norway.
Scand Audiol. 1996;25(4):259-62. doi: 10.3109/01050399609074964.
Selection of optimal hearing aids for a patient with a particular audiogram has become increasingly difficult as the number of available models on the market has grown considerably. In order to assist the hearing-aid fitter in this work, recent programming techniques using artificial neural networks have been investigated. Artificial neural networks are capable of recognizing audiograms and relating them to suitable hearing aids. A programme to assist in the early stage of hearing-aid selection was developed using these techniques.
随着市场上可用型号数量的大幅增加，为患有特定听力图的患者选择最佳助听器变得越来越困难。为了协助听力辅助设备装配人员开展这项工作，人们对近期使用人工神经网络的编程技术进行了研究。人工神经网络能够识别听力图并将其与合适的助听器相关联。利用这些技术开发了一个辅助助听器选择早期阶段的程序。
