人工神经网络及应用章节测试课后答案2024春

第四章测试

1.The perceptron learning algorithm is driven by misclassification, so the stochastic gradient descent method is used to optimize the loss function. （ ）
A:misclassification B:correct C:minimum D:maximum
答案:A
2.Perceptron is a single-layer neural network, or neuron, which is the smallest unit of neural network. （ ）
A:对 B:错 3.When the perceptron is learning, each sample will be input into the neuron as a stimulus. The input signal is the feature of each sample, and the expected output is the category of the sample. When the output is different from the category, we can adjust the synaptic weight and bias value until the output of each sample is the same as the category. （ ）
A:错 B:对 4.If the symmetric hard limit function is selected for the transfer function, the output can be expressed as . If the inner product of the row vector and the input vector in the weight matrix is greater than or equal to -b, the output is 1, otherwise the output is -1. （ ）
A:错 B:对 5.The basic idea of perceptron learning algorithm is to input samples into the network step by step, and adjust the weight matrix of the network according to the difference between the output result and the ideal output, that is to solve the optimization problem of loss function L(w,b). （ ）
A:对 B:错