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Rainfall and financial forecasting using fuzzy time series and neural networks based model. INT J MACH LEARN CYB 2016. [DOI: 10.1007/s13042-016-0548-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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LI KE, WANG RAN, KWONG SAM, CAO JINGJING. EVOLVING EXTREME LEARNING MACHINE PARADIGM WITH ADAPTIVE OPERATOR SELECTION AND PARAMETER CONTROL. INT J UNCERTAIN FUZZ 2013. [DOI: 10.1142/s0218488513400229] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Extreme Learning Machine (ELM) is an emergent technique for training Single-hidden Layer Feedforward Networks (SLFNs). It attracts significant interest during the recent years, but the randomly assigned network parameters might cause high learning risks. This fact motivates our idea in this paper to propose an evolving ELM paradigm for classification problems. In this paradigm, a Differential Evolution (DE) variant, which can online select the appropriate operator for offspring generation and adaptively adjust the corresponding control parameters, is proposed for optimizing the network. In addition, a 5-fold cross validation is adopted in the fitness assignment procedure, for improving the generalization capability. Empirical studies on several real-world classification data sets have demonstrated that the evolving ELM paradigm can generally outperform the original ELM as well as several recent classification algorithms.
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Affiliation(s)
- KE LI
- Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
| | - RAN WANG
- Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
| | - SAM KWONG
- Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
| | - JINGJING CAO
- Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
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Raja R, Raja UK, Samidurai R, Leelamani A. Dynamic analysis of discrete-time BAM neural networks with stochastic perturbations and impulses. INT J MACH LEARN CYB 2013. [DOI: 10.1007/s13042-013-0199-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Robust exponential stability analysis for interval Cohen–Grossberg type BAM neural networks with mixed time delays. INT J MACH LEARN CYB 2013. [DOI: 10.1007/s13042-013-0186-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ghazikhani A, Monsefi R, Sadoghi Yazdi H. Online neural network model for non-stationary and imbalanced data stream classification. INT J MACH LEARN CYB 2013. [DOI: 10.1007/s13042-013-0180-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Zheng CD, Zhang Y, Wang Z. Stability analysis of stochastic reaction–diffusion neural networks with Markovian switching and time delays in the leakage terms. INT J MACH LEARN CYB 2013. [DOI: 10.1007/s13042-013-0165-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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He C. Approximation of polygonal fuzzy neural networks in sense of Choquet integral norms. INT J MACH LEARN CYB 2013. [DOI: 10.1007/s13042-013-0154-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Wu H, Wang K, Guo Q, Xu G, Li N. Design of a kind of nonlinear neural networks for solving the inverse optimal value problem with convex constraints. INT J MACH LEARN CYB 2012. [DOI: 10.1007/s13042-012-0138-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Robust stability of stochastic uncertain recurrent neural networks with Markovian jumping parameters and time-varying delays. INT J MACH LEARN CYB 2012. [DOI: 10.1007/s13042-012-0124-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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12
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Gan Q. Synchronization of competitive neural networks with different time scales and time-varying delay based on delay partitioning approach. INT J MACH LEARN CYB 2012. [DOI: 10.1007/s13042-012-0097-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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