基于数据学习逆模糊模型的自适应逆模糊控制 关键词：基于数据；模糊学习算法；逆模糊控制；自适应 [gap=971]Key words：data-based；fuzzy learning algorithm；fuzzy inverse control；self-adaptation
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本文提出了一种基于相似度的特征选择算法和适应模糊学习算法来实现分类。
In this paper, a web page classification with feature selection and fuzzy learning is proposed.
结果表明，与传统的基于误差平方和准则的学习算法相比，采用模糊学习算法可以大大简化网络结构，有效提高模拟精度和效率。
The modeling results showed that the introduction of fuzzy learning method can not only simplify the structure of neural network, but also effectively improve the modeling accuracy and efficiency.
基于模糊熵准则和误差平方和准则建立了模糊学习算法，基于该模糊学习算法，应用BP神经网络对柜式空调机组的性能进行了模拟。
Based on fuzzy entropy rule and sum-squared error rule, a fuzzy learning method was presented. According to this method, BP neural network was used to model the performance of air-conditioning units.
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