A topological index (TI) is a quantity expressed as a number that help us to catch symmetry of network. With the help of quantitative structure property relationship (QSPR), we can guess physical and chemical properties of several networks. A neural network is a computer system based on the nerve system. There are numerous uses of these systems in different fields of studies but their most critical use to date is in Neurochemistry. In this paper, we will discuss thirteen irregularity indices for probabilistic neural networks (PNN).

中文翻译：

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计算概率神经网络的不规则指数

拓扑指数（TI）是表示为数字的数量，可以帮助我们捕获网络的对称性。借助定量结构性质关系（QSPR），我们可以猜测几个网络的物理和化学性质。神经网络是基于神经系统的计算机系统。这些系统在不同的研究领域中有许多用途，但迄今为止，它们最关键的用途是在神经化学中。在本文中，我们将讨论概率神经网络（PNN）的13个不规则指数。