A Conceptual Approach to NonLinear Identification and Modeling Based on Expert Opinions
A Conceptual Approach to NonLinear Identification and Modeling Based on Expert Opinions
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DOI：
10.1080/0232929021000008813
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发表时间：
2003-05
期刊：
影响因子：
--
通讯作者：
Kirill Chernyshov
中科院分区：
文献类型：
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作者：
Kirill Chernyshov
为了将不确定性建模为实际过程，提出了一种结合基于分析和专家知识的技术来辨识非线性系统模型的通用方法。该方法引入了一种涉及专家意见的新型随机过程的随机相依性，它是离散辨识技术的推广。
In order to model uncertainty involved into a real-world process, a general approach combining both analytical and expert knowledge-based techniques to identify a nonlinear system model is proposed. The approach leads to using a new type of stochastic dependence of random processes, involving expert opinion, and which is a generalization of the disperssional identification technique.