Abstract: Complex-valued neural network is a kind of learning model which can deal with problems in complex domain. Fully complex extreme learning machine (CELM) is a much faster training algorithm ...

Abstract: The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward ...

ELM was originally proposed to train "generalized" single-hidden layer feedforward neural networks(SLFNs) with fast learning speed, good generalization capability and ...

simple, easily readable, and easily modifiable. It is not optimized, and omits many desirable features.

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The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of ...