RELATIONSHIP BETWEEN CONVOLUTIONAL NEURAL NETWORKS AND F-TRANSFORM

被引：0

作者：

Molek, Vojtech ^{[1
]}

Perfilieva, Irina ^{[2
]}

机构：

[1] Univ Ostrava, Dept Informat & Comp, CZ-70103 Ostrava, Czech Republic

[2] Univ Ostrava, Inst Res & Applicat Fuzzy Modeling, CZ-70103 Ostrava, Czech Republic

来源：

UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2016年 / 10卷

关键词：

F-transform; Convolutional neural networks; Image processing; Learning optimization; RECOGNITION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This contribution was prepared for the doctoral consortium. It contains characterisation of the research problem, conventional and proposed techniques and short review of literature. Authors present results of experiments with convolutinal neural networks with a non-standard architecture.

引用

页码：325 / 328

页数：4

共 6 条

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