In order to improve the performance of information retrieval system, a retrieval algorithm combining multi-query data fusion with positive relevance feedback is presented.
为提高信息检索系统的性能，提出了一种多查询数据融合与正相关反馈相结合的检索算法。
An image fusion algorithm using transform and taking the evaluation of effect as feedback, using the algorithm in multi-focus image fusion, can get a fused image that all targets are more clearer.
基于小波变换的并以效果评价为反馈的图像融合算法，将其用于多聚焦图像融合中，能够一次就得到各个目标都比较清晰的融合图像。
We use a parallel and with feedback fusion system architecture, cascade D-S evidence theory to be fusion algorithm. Finally, a graphic target recognition system is realized.
系统采用有反馈的全并行融合系统结构，以分级式d S证据推理为数据融合算法，最终实现一个图形化的目标识别系统。
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