The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …

Photovoltaic (PV) is one of the most promising renewable energy sources. To ensure secure
operation and economic integration of PV in smart grids, accurate forecasting of PV power is …

In this article, a fractional-order sliding mode control (FOSMC) scheme is proposed for
mitigating harmonic distortions in the power system, whereby a self-constructing recurrent …

In this paper, we propose a real-time online shopper behavior analysis system consisting of
two modules which simultaneously predicts the visitor's shop** intent and Web site …

For solving the singularity problem arising in the control of manipulators, an efficient way is
to maximize its manipulability. However, it is challenging to optimize manipulability …

In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …

Robots facilitate a critical category of equipment to implement intelligent production.
However, due to extensively inevitable factors like structural errors and gear tolerances, the …

The problem of dynamic task allocation in a distributed network of redundant robot
manipulators for pathtracking with limited communications is investigated in this paper …

In this paper, a neural-dynamic distributed scheme is proposed for the cooperative control of
multiple redundant manipulators with limited communications. It is guaranteed that, with the …

Using neural networks to handle intractability problems and solve complex computation
equations is becoming common practices in academia and industry. It has been shown that …