这些程序包括以下方面1.使用感知器和ADALINE网络对字母进行识别。2.随机选取初始权向量，选取适当的迭代步长(对ADALINE网络)，用给出的四个输入训练样本，对上述两个网络分别进行训练，直到网络收敛；3.对Adaline网络选取不同的值，分别画出误差曲线，观察它们的变化规律；4.对感知器选取不同的初始权向量，分别计算每类训练样本到超平面的距离，观察它们的异同；5.训练结束后，检验网络的识别能力(使用100个检测样本，对应于每个取25个含噪的变形)：6.比较Adaline和单神经元感知器的分类效果。-These programs include the following aspects of a perceptron and ADALINE networks to identify the letters. Randomly selected initial weight vector, select the appropriate step length (ADALINE network), four inputs with the given training sample, training on the above two networks, respectively, until the network convergence　3. Selected Adaline Network different values​ ​ , respectively, to draw the error curve, observe their variation . perceptron select the initial weight vector, calculated separately for each type of training samples to the hyperplane distance, to observe their similarities and differences　5. end of the training recognition ability of the test network (using the 100 samples tested, corresponds to each take 25 noisy deformation): 6. compare Adaline and single-neuron perceptron the classification results.