Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu Sabah 88400, Malaysia.
Department of Mathematics and Statistics, Hazara University, Mansehra 21120, Pakistan.
Sensors (Basel). 2021 Sep 30;21(19):6567. doi: 10.3390/s21196567.
In this study, the numerical computation heuristic of the environmental and economic system using the artificial neural networks (ANNs) structure together with the capabilities of the heuristic global search genetic algorithm (GA) and the quick local search interior-point algorithm (IPA), i.e., ANN-GA-IPA. The environmental and economic system is dependent of three categories, execution cost of control standards and new technical diagnostics elimination costs of emergencies values and the competence of the system of industrial elements. These three elements form a nonlinear differential environmental and economic system. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions.
在这项研究中，使用人工神经网络（ANNs）结构的环境和经济系统的数值计算启发式方法，以及启发式全局搜索遗传算法（GA）和快速局部搜索内点算法（IPA）的能力，即 ANN-GA-IPA。环境和经济系统依赖于三个类别，即控制标准的执行成本、新的技术诊断消除紧急值的成本以及工业要素系统的能力。这三个要素构成了一个非线性微分环境和经济系统。使用微分环境和经济系统及其初始条件来执行基于误差的目标函数的优化。
