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Penerapan Algoritma Optimasi Chaos pada Jaringan Ridge Polynomial untuk Prediksi Jumlah Pengangguran

机译:混沌优化算法在多项式岭网中的预测失业人数

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? Ridge polynomial neural network was initially proposed by Shin and Ghosh, made of total increased pi-sigma neural (PSN) orders. Ridge polynomial neural network maintains quick learning, strong mapping of single layer of higher order neural network (HONN) and avoids many weights because total increased inputs. Chaos optimization algorithm is used by utilizing sensitive logistic equation to initial condition, so that chaos movement can change in each condition in specific scale according to orderliness, ergodic, and maintaining solution variety. ??????????? Chaos optimization algorithm is applied to ridge polynomial neural network and used to predict total unemployed persons in West Kalimantan. Network training process used ridge polynomial neural network## while, initial values and weights and bias of network were found using Chaos optimization algorithm. Structure used consisted of 6 input layer neurons and one output layer neuron. Data were obtained from Central Statistic Agency. ??????????? The results of research indicated that algorithm proposed could be used to predict ?.
机译:? Ridge多项式神经网络最初由Shin和Ghosh提出,由总增加的pi-sigma神经(PSN)阶数构成。岭多项式神经网络可保持快速学习,对高阶神经网络(HONN)的单层进行强大的映射,并且由于总输入量增加而避免了很多权重。通过利用敏感的逻辑方程对初始条件进行混沌优化算法,使混沌运动可以根据有序性,遍历性和维持解的多样性在特定条件下按特定比例变化。 ????????????将混沌优化算法应用于岭多项式神经网络,并预测西加里曼丹省的总失业人数。网络训练过程采用岭多项式神经网络##,同时使用混沌优化算法求出网络的初始值,权重和偏差。使用的结构由6个输入层神经元和1个输出层神经元组成。数据来自中央统计局。 ????????????研究结果表明,所提出的算法可用于预测α。

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