The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
人工神经网络和模糊识别理论作为模拟生物体的信息处理系统。
The artificial neural network (ANN) has good processing ability to the non-linear information so that it is suitable for solving the index complexity and fuzzy problem.
人工神经网络具有良好的非线性信息处理能力，特别适宜于解决风险评价中多指标复杂性和不确定性的问题。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
The integrated ANN consists of fuzzy ART2 and BP network has ability of finding new fault type, accurate diagnostic reasoning and locating fault.
基于模糊ART神经网络及BP神经网络构建的集成神经网络更进一步具有发现新故障的能力，且能够对故障引发部位实现精确诊断和定位。
The integrated ANN consists of fuzzy ART2 and BP network has ability of finding new fault type, accurate diagnostic reasoning and locating fault.
基于模糊ART神经网络及BP神经网络构建的集成神经网络更进一步具有发现新故障的能力，且能够对故障引发部位实现精确诊断和定位。
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