摘要： A geometrical strategy for constructive neural networks is proposed in the paper. Firstly it can acquire quickly initial input weight parameters and topolgy by sequentially partioning feature space with the presented geometrical method. Secondly with SVD,

关键词: 神经网络 特征空间 序贯划分算法 误差反转学习算法 奇异值分解方法