In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

Optimization in computationally expensive numerical problems with limited function
evaluations provides computational advantages over constraints based on runtime …

Drought forewarning is an important decisive task since drought is perceived a recurrent
feature of climate variability and climate change leading to catastrophic consequences for …

In this paper, a modified grasshopper optimization algorithm is proposed for equalization of
non-linear wireless communication channels. Even though grasshopper optimisation …

This paper incorporates the regularization strategy of kernel based extreme learning
machines (ELM) to improve the performance of a neuro-fuzzy learning machine. The …

Deep eutectic solvents (DES) are a new class of green solvents. Reliable characterization of
DESs is a prerequisite for their successful applications. The molar heat capacity (Cp) is likely …

With the deeper study on complex networks, more and more attention has been paid to the
research on the cluster synchronization phenomena based on complex networks. In the real …

In urban environments, Global Positioning System (GPS) signals are often reflected or
blocked by buildings causing multipath effects and Non-Line-Of-Sight (NLOS) reception …

Widespread use of the internet has resulted in a massive rise in the data rate of a wireless
communication system. Eventually, to mitigate the effect of inter-symbol interference (ISI) in …