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Abstract and Applied Analysis

Volume 2014 (2014), Article ID 642685, 13 pages

http://dx.doi.org/10.1155/2014/642685

## Existence and Uniqueness of Almost Periodic Solutions for Neural Networks with Neutral Delays

School of Mathematics and Statistics, Jiangsu Normal University Xuzhou, Jiangsu 221116, China

Received 13 December 2013; Accepted 18 February 2014; Published 17 April 2014

Academic Editor: Jifeng Chu

Copyright © 2014 Min Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

A class of neural networks system with neutral delays is investigated. The existence and uniqueness of almost periodic solution for the system are obtained by using fixed point theorem; we extend some results in the references.

#### 1. Introduction

In recent years, neural networks have been deeply investigated due to their applicability in solving some image processing, signal processing, and pattern recognition problems. And neural networks have been applied in artificial intelligence and automatic control engineering because of their good abilities of information memory and information association ([1, 2]).

Cellular neural networks (for short CNN) have been introduced by Chua and Yang [3] in 1988. Usually, in the electronic implementations of analog neural networks, time delays will inevitably occur in the communication and response of neurons because of the unavoidable finite switching speed of amplifiers ([4–9]). Due to the complicated dynamic properties of the neural cells in the real world, some complicated dynamic properties have been described by delayed cellular neural networks (DCNNs) ([10–13]).

Bai [10] proposed a neural networks model which takes the following form: where , with initial condition By using fixed point theorem, Bai studied the global stability of almost periodic solutions for the above neural networks.

Since neural networks with neutral delays contain some very important information about the derivative of the past state, it is very important for us to study such complicated system. Some authors studied some more complicated neutral neural networks and several important results have been obtained in ([14–20]). For example, Pinto and Robledo [14] studied an impulsive neural network of -units and distributed delays as follows: where , , , . By using spectral radius theorem they obtained a result on the existence and stability of an almost periodic solution for the system (3).

Feng et al. [17] considered delayed neural network as follows: and obtained the system (4) having a unique equilibrium point, which is globally asymptotically stable.

Wang and Zhu [19] were concerned with the following generalized neutral-type neural networks with delays: where is a difference defined by . By using fixed point theorem, Lyapunov function method, and comparison theorem, the authors studied the existence, global asymptotic stability, and exponential stability of almost periodic solution for the system (5).

Motivated by the above papers, in this paper, we consider the neural networks with neutral delays with initial condition where , , , , , , , , , and are almost periodic functions, , , with ecological meaning are as follows: : the potential (or voltage) of cell at time ; : represents the rate with which the unit will reset its potentialto the resting state in isolation when disconnected from the networkand external inputs at time ; , , , : represent some strengths of connectivity and neutraldelayed strengths of connectivity between cell and at time ; , , : the activation functions and is a scalar integrable function defined in ; : an external input on the unit at time ; , : correspond to the transmission delays of the unit along the axon of the unit at time .

The aim of this paper is to obtain sufficient conditions for the existence and uniqueness of almost periodic solutions to system (6), by using fixed point theorem and differential inequality theory and the analysis technique.

The remaining part of this paper is organized as follows. In Section 2, we will state several definitions and lemmas which will be useful in proving the main results. In Section 3, by using fixed point theorem and differential inequality techniques, the existence of almost periodic solution for system (6) is obtained. In Section 4, globally exponential stability of almost periodic solution for system (6) is obtained; thus the uniqueness of almost periodic solution for system (6) is obtained.

#### 2. Preliminaries

For the sake of convenience, we introduce the following notations:

For system (6), we introduce the following assumptions.

, , , are Lipschitz continuous with Lipschitz constants and , respectively, and , for all :

and is a decreasing function about .

In this paper, we will denote , where , , where , , where is matrix. Define the space as

, where is continuously differentiable almost periodic function};

then is a Banach space with the norm defined by

We introduce some useful definitions and lemmas, which are important to establish our results.

*Definition 1 (see [21, 22]). *Let be continuous in , is said to be almost periodic on if, for any , the set , for all is relatively dense; that is, for , it is possible to find a real number , for any interval with length , there exists a number in this interval such that , for .

*Definition 2 (see [21, 22]). *Let and be a continuous matrix defined on . The linear system
is said to admit an exponential dichotomy on , if there exist positive constants , , projection and the fundamental solution matrix of (11) satisfying

*Definition 3 (see [10]). *Let be a continuously differentiable almost periodic solution of system (6) with initial value . If there exist constants and such that for every solution of system (6) with any initial value ,
where . Then is said to be globally exponential stable.

Lemma 4 (see [21, 22]). *If the linear system (11) admits an exponential dichotomy, then almost periodic system
**
has a unique almost periodic solution , and
*

Lemma 5 (see [21, 22]). *Let be an almost periodic function on and
**
Then the linear system
**
admits an exponential dichotomy on .*

#### 3. Existence of Almost Periodic Solution

Theorem 6. *Assume that hold; then there exists a unique continuously differentiable almost periodic solution of system (6) in the region , .*

*Proof. *For , we consider the almost periodic solution of nonlinear almost periodic differential equations
where .

From , we have
From Lemmas 4 and 5, system (6) has a unique almost periodic solution which can be expressed as follows:
Define an operator: by setting
By the definition of , one has
Hence, for , , one has
Now we prove that maps the set into itself.

Obviously, for all , it follows from that
Moreover, we get
Thus, by (23), (24), (25), and , one has
which implies that . So, the operator is a self-operator from to .

Next, we prove that is a contraction operator of the .

In fact, in view of , for all , , we have
Thus,
In view of , we have ; it means that the is a contraction operator. By Banach fixed point theorem, there exists a fixed point such that , which implies system (6) has an almost periodic solution.

#### 4. Uniqueness of Almost Periodic Solution

Theorem 7. *Assume that hold; then system (6) has a unique continuously differentiable almost periodic solution which is globally exponentially stable.*

*Proof. *It follows from Theorem 6 that system (6) has at least one almost periodic solution with initial value . Let be an arbitrary solution of system (6) with initial value . Let , , . Then
where . Let and be defined by
where , , . From , we have

Since and are continuous on and , as , , there exist , such that and for , for . It is easy to check that . We obtain
So, we can choose a positive constant such that , , which implies that

By (29), we have

Let

By we have and
We claim that
To prove (36), we first prove for any , the following inequality holds:
Otherwise, there must be some and some , such that
By (33), (34), (38), , and , we have
Direct differentiation of (34) gives
Thus, from (33), (40), and , we obtain