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径向基函数神经网络的新型混合递推学习算法 被引量:13
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作者 汪小帆 王执铨 宋文忠 《控制理论与应用》 EI CAS CSCD 北大核心 1998年第2期272-276,共5页
从径向基函数网络的硬件实现和实时应用的角度出发,给出了RBF网络的一种新型混合递推学习算法.该算法既具有良好的数值性质又易于并行实现.把RBF网络用于非线性系统在线辨识,仿真结果显示了本文方法的有效性.
关键词 神经网络 学习算法 系统辨图 BRF网络
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Fingerspelling Recognition by Hand Shape Using Higher-Order Local Auto-Correlation Features
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作者 Yoshihiro Mitani Takuya Kanemura +1 位作者 Yusuke Fujita Yoshihiko Hamamoto 《Computer Technology and Application》 2012年第12期784-788,共5页
The fingerspelling recognition by hand shape is an important step for developing a human-computer interaction system. A method of fingerspelling recognition by hand shape using HLAC (higher-order local auto-correlat... The fingerspelling recognition by hand shape is an important step for developing a human-computer interaction system. A method of fingerspelling recognition by hand shape using HLAC (higher-order local auto-correlation) features is proposed. Furthermore, in order to use HLAC features more effectively, the use of image processing techniques: reducing an image resolution, dividing an image, and image pre-processing techniques, is also proposed. The experimental results show that the proposed method is promising. 展开更多
关键词 Image processing techniques fingerspelling recognition HLAC (higher-order local auto-correlation) features.
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