Forming a UAV cluster with multiple UAVs to collaborate in accomplishing tasks is the future
development of battlefield. The UAV cluster can collaborate by communicating through inter …

When two dense laser-induced plasmas collide a stagnation layer may form at the interface
region. The degree of stagnation depends on the so-called collisionality parameter given by …

A self-organizing complex neuro-fuzzy intelligent approach using complex fuzzy sets (CFSs)
is presented in this paper for the problem of time series forecasting. CFS is an advanced …

We recently employed concepts of mathematical morphology to introduce fuzzy
morphological associative memories (FMAMs), a broad class of fuzzy associative memories …

Demand data can be viewed as a number series from time to time. The series may be a
pattern that can be analyzed for the next demand prediction if the slice of time is constant …

Accurate daily river flow forecast is essential in many applications of water resources such
as hydropower operation, agricultural planning and flood control. This paper presents a …

There are various models to predict financial time series like the RMB exchange rate. In this
paper, considering the complex characteristics of RMB exchange rate, we build a nonlinear …

Nowadays, in Brazil there is a large energy potential that comes from hydro mineral sources,
which most part of the electricity consumed comes from this source. According to this, it is …

A modelling strategy based on the application of fuzzy inference system is shown to provide
a powerful and efficient method for the identification of non-linear and linear economic …

Stock index time series may allow investors to become aware of the change of stock market.
In the paper, we aim at forecasting S&P 500 Index, one of the most representative stock …