Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

This paper deal about the prediction of SunModule SW 175 monocrystalline photovoltaic
(PV) module power output installed in Belbis, Egypt. The proposes prediction model forecast …

Solar energy is one of the world's clean and renewable source of energy and it is an
alternative power with the ability to serve a greater proportion of rising demand needs. The …

Nesterov accelerated gradient (NAG) method is an efficient first-order algorithm for
optimization problems. To ensure the convergence, it usually takes a relatively conservative …

Accurate wind speed forecasting is a fundamental requirement for advanced and
economically viable large-scale wind power integration. The hybridization of the quaternion …

In this paper, a metacognitive octonion-valued neural network (Mc-OVNN) learning
algorithm and its application to diverse time series prediction are presented. The Mc-OVNN …

For optimization algorithms of fully complex-valued neural networks, complex-valued
stepsize is helpful to make the training escape from saddle points. In this paper, an adaptive …

In this paper, a new efficient model of neural network is proposed, which is realized by the
combination of two recent and successful neurocomputing paradigms. The idea behind the …

Time series identification is one of the key approaches to dealing with time series data and
discovering the change rules. Therefore, time series forecasting can be treated as one of the …

At present, mainstream research on complex network evolution involves measuring the
developing characteristics of network structure at the macro level. Few studies have focused …