On the basis of the dynamic retrieving differential equation, a multi-variable hydrologic self-memory model was established.
在动力反演微分方程的基础上，建立水文多元自记忆模型。
参考来源 - 基于现代分析技术的水文时间序列预测方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
实例研究表明，基于参数优化的自记忆模型提高了自记忆模型的适应性，具有更好的拟合、预测效果。
The example showed that self-memory model, based on parameter optimization, advanced the adaptability and had a better fitting effect and prediction effect.
在上述工作的基础上，本文主要研究了基于小世界体系的指数核自联想记忆模型在人脸识别中的应用。
On the basis of aforesaid work, the author further proposes robust face recognition algorithms based on sparse kernel auto - associative memory models.
对全互连的核自联想记忆模型框架进行了稀疏化改造。
Secondly, the complexity of fully-connected kernel auto-associative memory models is reduced.
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