Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
复制标题
具有异构演化的自动模型类型选择：射频电路模块建模的应用
DOI：
10.1109/cec.2008.4630917
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
T. Dhaene
中科院分区：
文献类型：
--
作者：
D. Gorissen;L. D. Tommasi;J. Croon;T. Dhaene
许多复杂的现实世界现象很难直接使用受控实验进行研究。相反，计算机模拟作为一种具有成本效益的替代方案已变得普遍。然而，无论摩尔定律如何，执行高保真度模拟仍然需要投入大量的时间和金钱。代理建模（元建模）作为减轻这一负担的替代解决方案已成为不可或缺的。存在许多代理模型类型（支持向量机、克里金法、RBF 模型、神经网络……），但没有一种类型在所有情况下都是最佳的。也没有任何硬理论可以帮助做出这一选择。设置代理模型参数（偏差-方差权衡）也是如此。传统上，这两个问题的解决方案都是务实的，以直觉、先前经验或简单可用的软件包为指导。在本文中，我们提出了解决这些问题的更有根据的方法。我们描述了一种由物种进化驱动的自适应代理建模环境，以自动确定最佳模型类型和复杂性。它的实用性和性能通过电子学的案例研究来展示。
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effective alternative. However, regardless of Moorepsilas law, performing high fidelity simulations still requires a great investment of time and money. Surrogate modeling (metamodeling) has become indispensable as an alternative solution for relieving this burden. Many surrogate model types exist (support vector machines, Kriging, RBF models, neural networks, ...) but no type is optimal in all circumstances. Nor is there any hard theory available that can help make this choice. The same is true for setting the surrogate model parameters (bias- variance trade-off). Traditionally, the solution to both problems has been a pragmatic one, guided by intuition, prior experience or simply available software packages. In this paper we present a more founded approach to these problems. We describe an adaptive surrogate modeling environment, driven by speciated evolution, to automatically determine the optimal model type and complexity. Its utility and performance is presented on a case study from electronics.
影响因子：
14.3
作者：
Tomioka, Satoshi;Nisiyama, Shusuke;Enoto, Takeaki
通讯作者：
Enoto, Takeaki