Sentence examples for signal processing pattern from inspiring English sources

In the area of control, signal processing, pattern recognition and image processing, and delayed neural networks have many useful applications.

In the area of control, signal processing, pattern recognition and image processing, delayed neural networks have many useful applications.

Neural networks have found important applications in various areas such as combinatorial optimization, signal processing, pattern recognition, and solving nonlinear algebraic equations.

Over the past decades, delayed neural networks have found successful applications in many areas such as signal processing, pattern recognition, associative memories and optimization solvers.

Recently, dynamical neural networks (DNNs) have been widely applied in all kinds of science and engineering fields, such as image and signal processing, pattern recognition, associative memory and combinational optimization, see [1 5].

Over the past decades, an enormous number of works have been significant as regards various neural networks because of wide applications, such as signal processing, pattern recognition, solving nonlinear algebraic equations, and so on.

In recent years, neural networks have received extensive attention due to their extensive applications in variety of areas, such as signal processing, image processing, pattern recognition, associative memory, and optimization problems [1, 2].

On the other hand, over the past three decades, neural networks (NNs) have been applied in various areas throughout science and engineering, such as signal processing, image processing, pattern recognition, associative memory and optimization [7 16].

It is well known that neural networks have been extensively studied over the past few decades and have been successfully applied to many areas, such as signal processing, static processing, pattern recognition, combinatorial optimization, and so on [18].

The study on the artificial neural networks has attracted much attention because of their potential applications such as signal processing, image processing, pattern classification, quadratic optimization, associative memory, moving object speed detection, etc.

In recent years, neural networks (especially recurrent neural networks, Hopfield neural networks, and cellular neural networks) have been successfully applied in many areas such as signal processing, image processing, pattern recognition, fault diagnosis, associative memory, and combinatorial optimization; see, for example, [1 6].