Department of Computer and Software Engineering, Polytechnic University Timişoara, Blvd. V. Pârvan, No. 2, 300223 Timişoara, Romania.
Neural Netw. 2018 Sep;105:277-293. doi: 10.1016/j.neunet.2018.05.006. Epub 2018 Jun 14.
This paper discusses octonion-valued neural networks (OVNNs) with leakage delay, time-varying delays, and distributed delays, for which the states, weights, and activation functions belong to the normed division algebra of octonions. The octonion algebra is a nonassociative and noncommutative generalization of the complex and quaternion algebras, but does not belong to the category of Clifford algebras, which are associative. In order to avoid the nonassociativity of the octonion algebra and also the noncommutativity of the quaternion algebra, the Cayley-Dickson construction is used to decompose the OVNNs into 4 complex-valued systems. By using appropriate Lyapunov-Krasovskii functionals, with double and triple integral terms, the free weighting matrix method, and simple and double integral Jensen inequalities, delay-dependent criteria are established for the exponential stability of the considered OVNNs. The criteria are given in terms of complex-valued linear matrix inequalities, for two types of Lipschitz conditions which are assumed to be satisfied by the octonion-valued activation functions. Finally, two numerical examples illustrate the feasibility, effectiveness, and correctness of the theoretical results.
本文讨论了具有漏泄时滞、时变时滞和分布时滞的八元数值神经网络(OVNN),其中状态、权重和激活函数属于八元数的范数分式代数。八元数代数是复数和四元数代数的非结合和非交换推广,但不属于结合的 Clifford 代数类别。为了避免八元数代数的非结合性和四元数代数的非交换性,使用 Cayley-Dickson 构造将 OVNN 分解为 4 个复值系统。通过使用适当的 Lyapunov-Krasovskii 泛函,具有双和三重积分项、自由加权矩阵方法以及简单和双重积分 Jensen 不等式,针对所考虑的 OVNN 的指数稳定性建立了时滞相关的判据。判据以复值线性矩阵不等式的形式给出,对于两种类型的 Lipschitz 条件,假设八元数激活函数满足这些条件。最后,通过两个数值示例说明了理论结果的可行性、有效性和正确性。