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目标边缘增强对神经网络性能的改进
IMPROVEMENT OF THE PERFORMANCE OF A NEURAL NETWORK BASED ON TARGET EDGE ENHANCEMENT
【摘要】 对有限灰阶的增量算法进行了进一步的研究和改进,提出用边缘增强的训练样本代替普通样本模式进行互连权重的学习.通过对边缘增强的4种飞行器平面内旋转投影图的识别,证明此方法可使神经网络互连权重的灰阶数目进一步降低,从而更易于光学硬件实现
【Abstract】 The increment algorithm with limited gray-levels is improved. The training set with edge enhancement is proposed to calculate the interconnection weights. The recognition results for four kinds of aircrafts with edge enhancement, which rotate in plane, indicate that this method can reduce the gray-levels of the interconnection weights further and is suitable for optical implementation.
【关键词】 边缘增强;
增量算法;
互连权重;
灰度阶;
【Key words】 edge enhancement; increment algorithm; interconnection weight; gray-level;
【Key words】 edge enhancement; increment algorithm; interconnection weight; gray-level;
【基金】 国家自然科学基金
- 【文献出处】 红外与毫米波学报 ,JOURNAL OF INFRARED AND MILLIMETER WAVES , 编辑部邮箱 ,1995年01期
- 【分类号】O438
- 【被引频次】1
- 【下载频次】31