Traditional statistical, physical, and correlation models for chaotic time series prediction
have problems, such as low forecasting accuracy, computational time, and difficulty …

The original BP neural network has some disadvantages, such as slow convergence speed,
low precision, which is easy to fall into local minimum value. So this paper proposes an …

In the present study, a comprehensive investigation was accomplished on shot peening of
AISI 316 L steel with a wide range of Almen intensity and surface coverage. Various …

False nearest neighbors (FNN) is one of the essential methods used in estimating the
minimally sufficient embedding dimension in delay-coordinate embedding of deterministic …

An image encryption and decryption method of fractional order chaotic systems (FOCS) with
predefined time synchronization is proposed in this article. Compared with the existing …

A simple and effective algorithm for the identification of optimal time delays based on the
geometrical properties of the embedded attractor is presented in this paper. A time series …

This work reports phase equilibrium experimental data (cloud points) for the system annatto
seed oil in compressed carbon dioxide+ ethanol as co-solvent. The oil was obtained by …

A planar mechanism with three moving parts is connected to a cam. The mechanism is
consisted from crank arm, connecting rod, flat-faced follower, polydyne cam, and two guides …

The following document presents the modeling and qualitative analysis of an electric power
system with which it is intended to use Takens' theorem to show its effectiveness or …

A simple and effective algorithm for the identification of optimal time delays based on the
geometrical properties of the embedded attractor is presented in this paper. A time series …