Pseudo gradient search for solving nonlinear multiregression based on the Choquet integral

Bo Guo, Wei Chen, Zhenyuan Wang
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引用次数: 4

Abstract

In some real optimization problems, the objective function may not be differentiable with respect to the unknown parameters at some points such that the gradient does not exist at those points. Replacing the classical gradient, this paper tries to use pseudo gradient search for solving a nonlinear optimization problem—nonlinear multiregression based on the Choquet integral with a linear core. It is a local search method with rapid search speed.
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基于Choquet积分求解非线性多元回归的伪梯度搜索
在一些实际的优化问题中,目标函数可能在某些点上对未知参数不可微,使得梯度在这些点上不存在。本文尝试用伪梯度搜索代替经典梯度来求解非线性优化问题——基于带线性核的Choquet积分的非线性多元回归。它是一种搜索速度快的局部搜索方法。
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