Research Article
The Optimisation for Local Coupled Extreme Learning Machine Using Differential Evolution
Algorithm 2
Evolutionary local coupled extreme learning machine.
Require: | , the training set ; | , the activation function; | , the similarity function; | , the fuzzy membership function; | , the number of hidden nodes; | Itermax, the preset maximum learning epoch of DE. | (1) Randomly designate hidden node parameters (, ), hidden node address , and radius . | (2) . | (3) while do | (4) (1) Calculate the hidden layer output matrix , | (2) Calculate the output weight , | (3) Adjust (, ) using DE, | (4) . | (5) end while | (6) (1) Calculate the hidden layer output matrix . | (2) Calculate the output weight . |
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