论文标题
部分可观测时空混沌系统的无模型预测
Derivation of Identities of the Rogers--Ramanujan Type by the Method of Constant Terms
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
What follows is a lightly edited version of the author's unpublished master's essay, submitted in partial fulfillment of the requirements of the degree of Master of Arts at the Pennsylvania State University, dated June 1994, written under the supervision of Professor George E. Andrews. It was retyped by the author on November 23, 2022. Obvious typographical errors in the original were corrected without comment; hopefully not too many new errors were introduced during the retyping. Explanatory text added by the author in 2022 is notated by \emph{Remark added in 2022}. After the initial posting on the arXiv on November 29, 2022, the author received email from Wadim Zudilin and George Andrews, pointing out some typos and making some interesting comments. These comments have been incorporated in this revised submission to the arXiv. The bibliography in this version is more extensive than that of the original.
