@inproceedings{dcebcc9c0fc540bdb1bfea811f7fe3c2,
title = "Hardware neuro-fuzzy learning",
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.",
author = "Chunshien Li and Tsai, {Zhao Yi}",
year = "2007",
doi = "10.1109/ICNC.2007.413",
language = "???core.languages.en_GB???",
isbn = "0769528759",
series = "Proceedings - Third International Conference on Natural Computation, ICNC 2007",
pages = "282--286",
booktitle = "Proceedings - Third International Conference on Natural Computation, ICNC 2007",
note = "3rd International Conference on Natural Computation, ICNC 2007 ; Conference date: 24-08-2007 Through 27-08-2007",
}