用于医学诊断的感觉神经网络的研制
Development of a sensory-neural network for medical diagnosing
摘要：
描述了一种用于疾病诊断的感觉神经网络的性能。关于患者状况的信息通过对问卷的回答提供。问题对应于当患者确认症状时产生信号的传感器。这些信号激发神经元，其中疾病的特征由与症状指标相关联的突触权重表示。最兴奋的神经元对应的疾病被提出作为诊断的结果。它的可靠性是由最兴奋的神经元的激励和完整的神经网络的比例定义的似然估计。
英文摘要：
Performance of a sensory-neural network developed for diagnosing of diseases is described. Information about patient's condition is provided by answers to the questionnaire. Questions correspond to sensors generating signals when patients acknowledge symptoms. These signals excite neurons in which characteristics of the diseases are represented by synaptic weights associated with indicators of symptoms. The disease corresponding to the most excited neuron is proposed as the result of diagnosing. Its reliability is estimated by the likelihood defined by the ratio of excitation of the most excited neuron and the complete neural network.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
