将单层线性前馈网络用于矩阵求逆的方法，应用于电力系统故障计算中，从而简化了计算。
The linear forward feedback perceptron with single layer is used to seek the inverse matrix in failure analysis of power system, so that the calculation is simplified.
当训练样本线性可分时，本文证明前馈神经网络的在线BP算法是有限次收敛的。
In this paper we prove a finite convergence of online BP algorithms for nonlinear feedforward neural networks when the training patterns are linearly separable.
本文结合岩体质量的模式识别，阐述了半线性前馈神经网络的基本原理和应用，并给出了其部分试验结果。
In this paper, the principle and application of semilinear feedforward neural network are described, some experimental results are also presented.
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