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Errata on 'GA-fuzzy modeling and classification: complexity and performance' and 'Compact and transparent fuzzy models and classifiers through iterative complexity reduction'

机译：勘误表“GA-FUZZY建模和分类：复杂性和性能”和“通过迭代复杂性减少的紧凑型和透明模糊模型和分类器”

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作者
Johannes A. Roubos; Magne Setnes;
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年度 2003
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原文格式 PDF
正文语种 eng
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1. GA-fuzzy modeling and classification: complexity and performance [J] . Setnes M., Roubos H. IEEE Transactions on Fuzzy Systems . 2000,第5期

机译：GA模糊建模和分类：复杂性和性能
2. Accurate fuzzy predictive models through complexity reduction based on decision of needed fuzzy rules [J] . Jin Yali, Cao Weihua, Wu Min, Neurocomputing . 2019,第JANa5期

机译：基于所需模糊规则的决策，通过降低复杂度来获得准确的模糊预测模型
3. Proposal for classifying the severity of speech disorder using a fuzzy model in accordance with the implicational model of feature complexity [J] . BrancalioniA.R., MagnagoK.F., Keske-SoaresM. Clinical linguistics & phonetics . 2012,第9期

机译：根据特征复杂度的隐含模型使用模糊模型对语言障碍严重程度进行分类的提案
4. Compact fuzzy models through complexity reduction and evolutionary optimization [C] . Roubos, H., Setnes, Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on . 2000

机译：通过降低复杂度和进化优化实现紧凑的模糊模型
5. Iterative data detection: Bounding performance and complexity reduction. [D] . Chung, Kyuhyuk. 2003

机译：迭代数据检测：无限的性能和复杂度的降低。
6. Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feeding behavior in rats [O] . Lucas L. Dwiel, Jibran Y. Khokhar, Michael A. Connerney, 2019

机译：在模型复杂性和性能之间找到平衡：使用腹侧纹状体振荡对大鼠的进食行为进行分类
7. Compact and transparent fuzzy models and classifiers through iterative complexity reduction [O] . Hans Roubos, Student Member, Magne Setnes 2001

机译：通过迭代复杂度降低实现紧凑和透明的模糊模型和分类器

Errata on 'GA-fuzzy modeling and classification: complexity and performance' and 'Compact and transparent fuzzy models and classifiers through iterative complexity reduction'

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