associative memory model meaning in Chinese

联想记忆模型

In 1987 , since b . kosko defined the ‘ max - min ’ neural networks as the fuzzy associative memories , the research has been attracted many scholar ’ s attention . fuzzy associative memories models integrate the advantages of both fuzzy systems and neural networks in dealing with information
1987年, kosko提出了基于max - min模糊算子对的模糊联想记忆网络,首次有机地将模糊系统与神经网络结合起来,这样做兼有两者处理信息的优点。
Then , a practical approach of software quality evaluation based on this model is given out which uses the network method of nerve and combines the associative memory model with the expert judge and fuzzy appraisal according to the gradient theory . and a program of this approach is compiled using c # . net
然后，根据梯度理论，应用神经网络方法将联想记忆模型与专家评判、模糊评价相结合，给出一个基于此模型的软件质量评价的实用方法，并用c # . net对此评价方法编程实现，最后通过实例来说明此方法。