Based on polynomial interpolation and approximation theory, a special feed-forward neural
network using power activation functions is constructed in this paper. The neural model …

对退化图象的复原问题, 特别是对盲图象的复原问题, 由于其有广泛的应用前景,
因此引起了众多学者的研究兴趣, 神经网络因其固有的优点, 一直备受各领域研究者的重视 …

Different from gradient-based neural networks, a special kind of recurrent neural network
has recently been proposed by Zhang et al for online matrix inversion. Such a neural …

Information about temperature distribution is complex but of critical importance for the control
of various microwave applications. In this paper, an innovative way of temperature …

As an efficient technique, microwave heating is applied for various thermal processes in
recent years. Information of temperature field distribution is important to security and stability …

Artificial neural networks (ANN), especially with error back-propagation (BP) training
algorithms, have been widely investigated and applied in various science and engineering …

Conventional back-propagation (BP) neural networks have some inherent weaknesses such
as slow convergence and local-minima existence. Based on the polynomial interpolation …

This paper presents an ultrasonic thermometry method for thermal image distribution
reconstruction in a heating environment. It is based on determining the time-of-flight (ToF) of …

To obtain the inverses of time-varying matrices in real time, a special kind of recurrent neural
networks has recently been proposed by Zhang et al. It is proved that such a Zhang neural …

Background It is important to be able to predict, for each individual patient, the likelihood of
later metastatic occurrence, because the prediction can guide treatment plans tailored to a …