基于神经网络算法的助听器帮助聋人恢复听力  

Hearing Aid Helps Deaf People Recover Hearing Based on Neural Network Algorithm

作　　者：崔建国 宁永香 Cui-jianguo;ning-yongxiang(Shanxi engineering and Technology College,Yangquan 045000,ShanXi,China)

机构地区：[1]山西工程技术学院

出　　处：《电子世界》2018年第17期44-45,共2页Electronics World

摘　　要：对于听力受损严重的耳聋患者,一般助听器对其没有多少用处,而且这种助听器放大后引起会听者不舒服或感觉声音模糊;利用人工神经网络算法(Artificial Neural Network,即ANN),在对助听器的激励信号处理方面的应用,形成这种新型的助听器,可给听力受到严重损伤的聋人带来一定的听力。For the deaf patients with severe hearing loss,the general hearing aids is not very useful to the hearing aids,and the hearing aids is amplified to cause the listener to be uncomfortable or the sound is blurred;the application of the artificial neural network algorithm(Artificial Neural Network,that is,ANN),to the application of the incentive signal processing of the hearing aids,forms this A new type of hearing aid can bring hearing loss to deaf people with severe hearing loss

关 键 词：人工神经网络 基波频率 多层感知机 DSP S型函数 权重 

分 类 号：TS210.1[轻工技术与工程—粮食、油脂及植物蛋白工程]