研究结果显示，基于皮尔曲线的自适应免疫算法在隧道工程智能预测应用中的优越性和实用性。
The research results show that the adaptive immune algorithm of the Pearl curve has superiority and effectiveness for intellectuality prediction of tunnel engineering.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
提出一种用于WCDMA - TDD系统的重复迭代自适应智能天线算法。
A repeat iterative adaptive smart antenna algorithm for WCDMA-TDD systems is proposed.
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