[1]Huang G B, Zhu Q Y, Siew C K. Extreme LearningMachine:Theory and Application[J]. Neurocomput-ing ,2006,70:489-501.
[2]Suresh S’Babu R V, Kim H J. No — Reference Im-age Quality Assessment Using Modified ExtremeLearning Machine Classifier[J]. Applied Soft Com-puting, 2009 ,9:541-552.
[3]Suresh S,Saraswathi S,Sundararajan N. Perform-ance Enhancement of Extreme Learning Machine forMulti — category Sparse Cancer Classification [J].Applications of Artificial Intelligence,2010,23:1149-1157.
[4]Kennedy J, Eberhart R. Particle Swarm Optimiza-tion[C]//IEEE International Conference on NeuralNetworks. Perth, Australia, 1995 : 1942-1948.
[5]仇国庆[1],唐贤伦[1],庄陵[1],杨志龙[2].基于混沌粒子群优化的神经网络在旋转机械故障诊断中的应用[J].中国机械工程,2008,19(21):2642-2645.
[6]Jiang C W, Etorre B. A Hybrid Method of ChaoticParticle Swarm Optimization and Linear Interior forReactive Power Optimization [J], Mathematics andComputers in Simulation,2005 ,68(1) : 57-65.
[7]王启付[1],王战江[1],王书亭[1].一种动态改变惯性权重的粒子群优化算法[J].中国机械工程,2005,16(11):945-948.
[8]Zhu Q Y,Qin A K,Suganthan P N,et al. Evolution-ary Extreme Learning Machine[J], Pattern Recogni-tion, 2005 ,38:1759-1763.
[9]Frank A,Asuncion A. UCI Machine Learning Re-pository, 2011 [DB/OL]. [2011] http://www. ics.uci. edu.
[10]Huang W, Shen Z, Norden E. Nonlinear Indicial Re-sponse of Complex No Stationary Oscillations as Pul-monary Hypertension Responding to Step Hypoxia[J]. Proceedings of the National Academy of Science,1999,96(5):1834-1839. |