The fuzzy-neuro development system FUZNET

Author

Cermak, Petr ; Pokorny, Martin

Author_Institution

Res. Inst. of the IT4Innovations Centre of Excellence, Silesian Univ. in Opava, Opava, Czech Republic

fYear

2013

fDate

26-29 Aug. 2013

Firstpage

75

Lastpage

80

Abstract

The Fuzzy-neural development system is presented in two versions. The First version is the implementation in C, C++ with interface to Matlab or other programs using DLL calling. The second implementation is newer, conform to Referential transparency. For implementation we choose functional programming language Scheme. The Scheme version R5RS is adopted on different platforms like PC, microprocessors and FPGAs. This allows easy transfer of Scheme code on mentioned platforms. There is presented short programming example of Takagi Sugeno Kang fuzzy rule based model in form of the Fuzzy Neural Network. The possible applicatons of the proposed development system are presented.

Keywords

C++ language; Scheme; functional programming; fuzzy neural nets; fuzzy set theory; C++; DLL calling; FPGAs; FUZNET; Matlab; Scheme version R5RS; Takagi Sugeno Kang fuzzy rule based model; functional programming language Scheme; fuzzy neural network; fuzzy-neural development system; microprocessors; referential transparency; scheme code; Educational institutions; Field programmable gate arrays; Fuzzy neural networks; Genetic algorithms; Optimization; Predictive models; Shape; C++ programming; FPGA; FUZNET; Genetic algorithm; Optimization; Scheme; functional programming; fuzzy neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Methods and Models in Automation and Robotics (MMAR), 2013 18th International Conference on

Conference_Location

Miedzyzdroje

Print_ISBN

978-1-4673-5506-3

Type

conf

DOI

10.1109/MMAR.2013.6669884

Filename

6669884