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. 橢球單元通過高斯分佈逼近形成各模式類的決策區域，是一種非常適合於模式識別任務的前饋型人工神經網路模型。
The ellipsoidal coordinates are introduced to solve the unknown displacement and electric potential jumps in the integral equations under uniform loading. 引入橢球坐標系后，得到了均布載荷作用下未知位移間斷和電勢間斷的解析解。
