A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所 > 中科院长春光机所知识产出

	A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction
	Cui, H. M.; J. X. Feng; J. Guo and T. F. Wang
刊名	Knowledge-Based Systems
	2015
卷号	88 页码:195-209
英文摘要	To better predict time series, in this paper the single multiplicative recurrent neuron (SMRN) is constructed by adding feedforward and feedback links at the nodes of the original single multiplicative neuron (SMN). Glowworm swarm optimization (GSO) algorithm as a method for training the parameters of various kinds of neural network models gets easily into locally optimal traps during optimization process and its movement stability is also poor because of no memory about search history. To overcome the aforementioned disadvantages, firstly the linearly declining inertia weight is incorporated into the location update formula of standard GS0 (LWGSO). After that in order to further enhance the robustness capability, differential evolution (DE) algorithm is introduced into LWGSO forming LWGSODE. Standard unimodal and multi-modal static test functions in high dimensions have been used to test its properties. The statistically experimental results show that the proposed LWGSODE approach performs much better than basic GS0 whatever in terms of solutions precision, robustness or convergence speed. Moreover, the function optimization results are also competitive when compared with other state-of-the-art methods in the literature. Finally, the LWGSODE algorithm is used to train SMRN for time series prediction, and approximation results have improved significantly. All the results obtained reveal the novel SMRN model combined with the proposed LWGSODE algorithm provides a promising means to approximate nonlinear series in the future. (C) 2015 Elsevier B.V. All rights reserved.
收录类别	SCI ; EI
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/55207]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Cui, H. M.,J. X. Feng,J. Guo and T. F. Wang. A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction[J]. Knowledge-Based Systems,2015,88:195-209.
APA	Cui, H. M.,J. X. Feng,&J. Guo and T. F. Wang.(2015).A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction.Knowledge-Based Systems,88,195-209.
MLA	Cui, H. M.,et al."A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction".Knowledge-Based Systems 88(2015):195-209.