【摘要】 首次把八元数（Ｃａｙｌｅｙ代数）引入到神经网络中，提出了八元数离敬神经网络模型，并用信噪比理论初步考察了模型的稳定性和存贮容量。八元数神经网络模型可应用于高精度的２５６级的灰度图像或２５６值的彩色图像的识别中。更多还原

【Abstract】 A discrete Cayley number neural network model is presented for the first time,whereby a neuron is a 256-state (±1±i ± i ± k ± e ± ie ± ie ± ke). Signal-to-noisetheory is used to analyse the stability and the storage capacity. The storage capacity of theCayley model is the same as that of the Hopfield model. This 256-state neural networkcan be applied to recognize the 256-level color or 256-level grey patterns.更多还原