Title :
Hardware Neuro-Fuzzy Learning
Author :
Li, Chunshien ; Tsai, Zhao-Yi
Author_Institution :
Nat. Univ. of Tainan, Tainan
Abstract :
The research in the paper is about the hardware machine learning study of an intelligent neuro-fuzzy system (NFS). The NFS is embedded within a DSP-FPGA chip system. The well-known random optimization method is used as the learning algorithm for the NFS. It is applied to a laboratory-scale temperature control process to study the hardware learning ability. The experiment results show the intelligent hardware system is able to achieve the machine-learning task with good performance. This encourages us the future study of intelligent hardware systems.
Keywords :
field programmable gate arrays; fuzzy neural nets; learning (artificial intelligence); DSP-FPGA chip system; hardware learning ability; hardware machine learning; hardware neuro-fuzzy learning; intelligent hardware system; intelligent neuro-fuzzy system; learning algorithm; random optimization method; Digital signal processing chips; Field programmable gate arrays; Fuzzy logic; Fuzzy neural networks; Hardware; Intelligent systems; Learning systems; Machine learning; Optimization methods; Pulse width modulation;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.413
