通过高斯金字塔模拟目标的多级尺度模型，利用不同级别的模型建立目标的多级BP网络模型。
In this paper, we simulate multi-scale models of targets through Gaussian pyramid, and then establish multiple BP nets of targets.
椭球单元通过高斯分布逼近形成各模式类的决策区域，是一种非常适合于模式识别任务的前馈型人工神经网络模型。
Neural Networks with Ellipsoidal Activation Functions closes in upon a decision making region by Gauss distribution for various patterns and is adapted to fault diagnosis well.
以人类嗅觉机理为研究对象，研究建立了一种基于高斯函数(GPFN)神经网络的气味鉴别模型。
In this paper, with the mankind smell mechanism as the target for research, a model, based on Gausss function neural net, has been set up to distinguish smell.
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