... 应用数据挖掘与知识发现和递归的自-组织模糊神经推理网络(recurrent self-organizing neural fuzzy inference network,RSONFIN)的方法,针对案例支持系统中经常遇到的模糊性问题,提出一种基于案例挖掘的新的智能决策支持系统.
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我们先前的简单示例(其中，多态递归作为一个简单直接的自引用发生)会使这一事实变得模糊。
This fact may be obfuscated by our simple example earlier in which the polymorphic recursion occurs as a simple, direct self-reference.
针对板带轧机液压agc系统在线故障诊断问题，建立了一种基于非线性自回归滑动平均模型NARMA的递归神经网络，通过AIC定阶法确定模型阶次。
For on-line fault diagnosis of hydraulic AGC system on strip rolling mill, a recursive neural network model based on NARMA was established. The model order is determined by AIC method.
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