【摘要】 提出了简化的广义多层感知机模型（SGMLP模型），并针对SGMLP模型给出了两种 学习算法：广义误差反向传播算法（GBP算法）和基于遗传算法（GA）的学习算法。两个典 型算例的实验结果表明，该模型及其学习算法是可行和有效的。更多还原

【Abstract】 This paper sets up a simplified generalized multi-layer perceptron model (SGMLP model). Two learning algorithms are proposed to train SGMLP network s. One is the generalized error back propagation algorithm (GBP), and the other is based on genetic algorithm (GA). Finally, experimental results of two typical benchmarks demonstrate that the new model and its learning algorithm are feasib le and efficient.更多还原