A rule-based filter network for multiclass data classification
作者： Balazs Tusor , Annamaria R. Varkonyi-Koczy
DOI: 10.1109/I2MTC.2015.7151425
关键词: Rule-based system 、 Data mining 、 Fuzzy control system 、 Computer science 、 Inference 、 Reinforcement learning 、 Data classification 、 Supervised learning 、 Machine learning 、 Artificial intelligence 、 Cluster analysis 、 Filter (signal processing)
摘要: Nowadays, data classification is still one of the most popular fields machine learning problems. This paper presents a new, adaptive, and easily applicable method for solution such The uses rules derived from training data. are processed by rule-based inference network that based on classic Radial Base Function networks, with modifications in output layer change functionality network. system, appointing done clustering data, which two new methods presented experimental results shown order to illustrate efficiency system.
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