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Compact and transparent fuzzy models and classifiers through iterative complexity reduction

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

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Hans Roubos; Student Member; Magne Setnes;
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年度 2001
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1. 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
2. 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
3. Identification of transparent, compact, accurate and reliable linguistic fuzzy models [J] . Riid A., Rüstern E. Information Sciences: An International Journal . 2011,第20期

机译：识别透明，紧凑，准确和可靠的语言模糊模型
4. A Multiobjective Genetic Fuzzy System for Obtaining Compact and Accurate Fuzzy Classifiers with Transparent Fuzzy Partitions [C] . Pulkkinen Pietari Machine Learning and Applications, 2009. ICMLA '09 . 2009

机译：具有透明模糊分区的紧凑，精确模糊分类器的多目标遗传模糊系统
5. A hill-climbing algorithm combined with fuzzy set concepts toward the development of a compact associative classifier. [D] . Mitra, Soumyaroop. 2008

机译：结合模糊集概念的爬山算法，用于开发紧凑型关联分类器。
6. Metal artefact reduction for patients with metallic dental fillings in helical neck computed tomography: comparison of adaptive iterative dose reduction 3D (AIDR 3D) forward-projected model-based iterative reconstruction solution (FIRST) and AIDR 3D with single-energy metal artefact reduction (SEMAR) [O] . Koichiro Yasaka, Kouhei Kamiya, Ryusuke Irie, 2016

机译：螺旋颈CT术中具有金属牙填充物的患者的金属假象减少：自适应迭代剂量减少3D（AIDR 3D）基于正向模型的基于模型的迭代重建解决方案（FIRST）和具有单能金属假象减少的AIDR 3D的比较（ SEMAR）
7. Errata on "GA-fuzzy modeling and classification: complexity and performance" and "Compact and transparent fuzzy models and classifiers through iterative complexity reduction" [O] . Johannes A. Roubos, Magne Setnes 2003

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”
8. General Theory of Optimal Error Algorithms and Analytic Complexity. Part B. Iterative Information Model. [R] . Traub, J. F., Wozniakowski, H. 1978

机译：最优误差算法的一般理论与解析复杂性。 B部分。迭代信息模型。

Compact and transparent fuzzy models and classifiers through iterative complexity reduction

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