摘要
将模糊推理技术与神经网络结合．利用模糊集理论来处理输入、输出信息，借助神经网络系统来完成推理、判断与知识的记忆存储及学习．从而给出了基于神经网络的模糊推理预测模型。
Combining fuzzy reasoning technology with neural networks, using fuzzy set theory processing input, output informations and by means of neural networks system to complete reasoning identification and memorization memory and self-learning of knowledge, fuzzy reasoning forecasting model based on neural networks is given.
基金
煤炭科学基金
关键词
模糊推理
神经网络
预测模型
信息处理
fuzzy reasoning
neural networks
forecasting model
BP network
information processing
