骑筋肃灰练稳码醇醛毯姐绘娶
第一章 单元测试
1、 Synapse is the place where neurons connect in function. It is composed of presynaptic membrane, synaptic space and postsynaptic membrane.（ ）
A:错
B:对
答案: 对
2、 Biological neurons can be divided into sensory neurons, motor neurons and （ ）according to their functions.
A:Pseudo unipolar neural networks
B:multipolar neurons
C:bipolar neurons
D:interneurons
答案: interneurons
3、 Neurons and glial cells are the two major parts of the nervous system. （ ）
A:对
B:错
答案: 对
4、 Neurons are highly polarized cells, which are mainly composed of two parts: the cell body and the synapse. （ ）
A:对
B:错
答案: 对
5、 The human brain is an important part of the nervous system, which contains more than 86 billion neurons. It is the central information processing organization of human beings. （ ）
A:错
B:对
答案: 对
第二章 单元测试
1、 In 1989, Mead, the father of VLSI, published his monograph “( )”, in which a genetic neural network model based on evolutionary system theory was proposed.
A:Journal Neural Networks
B:Analog VLSI and Neural Systems
C:Perceptrons: An Introduction to Computational Geometry
D:Learning Machines
答案: Analog VLSI and Neural Systems
2、 In 1989, Yann Lecun proposed convolutional neural network and applied it to image processing, which should be the earliest application field of deep learning algorithm. （ ）
A:错
B:对
答案: 对
3、 In 1954, Eccles, a neurophysiologist at the University of Melbourne, summarized the principle of Dale, a British physiologist, that “each neuron secretes only one kind of transmitter “.（ ）
A:错
B:对
答案: 对
4、 In 1972, Professor Kohonen of Finland proposed a self-organizing feature map (SOFM) neural network model. （ ）
A:错
B:对
答案: 对
5、 Prediction and evaluation is an activity of scientific calculation and evaluation of some characteristics and development status of things or events in the future according to the known information of objective objects. （ ）
A:对
B:错
答案: 对
第三章 单元测试
1、 The function of transfer function in neurons is to get a new mapping output of summer according to the specified function relationship, and then completes the training of artificial neural network. （ ）
A:对
B:错
答案: 对
2、 The determinant changes sign when two rows (or two columns) are exchanged. The value of determinant is zero when two rows (or two columns) are same. （ ）
A:对
B:错
答案: 对
3、 There are two kinds of phenomena in the objective world. The first is the phenomenon that will happen under certain conditions, which is called inevitable phenomenon. The second kind is the phenomenon that may or may not happen under certain conditions, which is called random phenomenon. （ ）
A:对
B:错
答案: 对
4、 Logarithmic S-type transfer function, namely Sigmoid function, is also called S-shaped growth curve in biology. （ ）
A:对
B:错
答案: 对
5、 Rectified linear unit (ReLU), similar to the slope function in mathematics, is the most commonly used transfer function of artificial neural network. （ ）
A:对
B:错
答案: 对
第四章 单元测试
1、 The perceptron learning algorithm is driven by misclassification, so the stochastic gradient descent method is used to optimize the loss function. （ ）
A:correct
B:misclassification
C:maximum
D:minimum
答案: misclassification
2、 Perceptron is a single-layer neural network, or neuron, which is the smallest unit of neural network. （ ）
A:对
B:错
答案: 对
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:对
B:错
答案: 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
答案: 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:错
B:对
答案: 对
第五章 单元测试
1、 The output of BP neural network is （ ）of neural network.
A:the input of the last layer
B:the output of the last layer
C:the output of the second layer
D:the input of the second layer
答案: the output of the last layer
2、 BP neural network has become one of the most representative algorithms in the field of artificial intelligence. It has been widely used in signal processing, pattern recognition, machine control (expert system, data compression) and other fields. （ ）
A:错
B:对
答案: 对
3、 In 1974, Paul Werbos of the natural science foundation of the United States first proposed the use of error back propagation algorithm to train artificial neural networks in his doctoral dissertation of Harvard University, and deeply analyzed the possibility of applying it to neural networks, effectively solving the XOR loop problem that single sensor cannot handle. （ ）
A:对
B:错
答案: 对
4、 In the standard BP neural network algorithm and momentum BP algorithm, the learning rate is a constant that remains constant throughout the training process, and the performance of the learning algorithm is very sensitive to the selection of the learning rate. （ ）
A:错
B:对
答案: 对
5、 L-M algorithm is mainly proposed for super large scale neural network, and it is very effective in practical application. （ ）
A:对
B:错
答案: 错
第六章 单元测试
1、 RBF neural network is a novel and effective feedforward neural network, which has the best local approximation and global optimal performance. （ ）
A:对
B:错
答案: 对
2、 At present, RBF neural network has been successfully applied in nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis. （ ）
A:错
B:对
答案: 对
3、 The basic idea of RBF neural network is to use radial basis function as the “basis” of hidden layer hidden unit to form hidden layer space, and hidden layer transforms input vector. The input data transformation of low dimensional space is mapped into high-dimensional space, so that the problem of linear separability in low-dimensional space can be realized in high-dimensional space. （ ）
A:错
B:对
答案: 对
4、 For the learning algorithm of RBF neural network, the key problem is to determine the center parameters of the output layer node reasonably. （ ）
A:对
B:错
答案: 错
5、 The method of selecting the center of RBF neural network by self-organizing learning is to select the center of RBF neural network by k-means clustering method, which belongs to supervised learning method. （ ）
A:对
B:错
答案: 错
第七章 单元测试
1、 In terms of algorithm, ADALINE neural network adopts W-H learning rule, also known as the least mean square (LMS) algorithm. It is developed from the perceptron algorithm, and its convergence speed and accuracy have been greatly improved. （ ）
A:错
B:对
答案: 对
2、 ADALINE neural network has simple structure and multi-layer structure. It is flexible in practical application and widely used in signal processing, system identification, pattern recognition and intelligent control. （ ）
A:错
B:对
答案: 对
3、 When there are multiple ADALINE in the network, the adaptive linear neural network is also called Madaline which means many Adaline neural networks. （ ）
A:对
B:错
答案: 对
4、 The algorithm used in single-layer ADALINE network is LMS algorithm, which is similar to the algorithm of perceptron, and also belongs to supervised learning algorithm. （ ）
A:对
B:错
答案: 对
5、 In practical application, the inverse of the correlation matrix and the correlation coefficient are not easy to obtain, so the approximate steepest descent method is needed in the algorithm design. The core idea is that the actual mean square error of the network is replaced by the mean square error of the k-th iteration.
（ ）
A:对
B:错
答案: 对
第八章 单元测试
1、 Hopfield neural network is a kind of neural network which combines storage system and binary system. It not only provides a model to simulate human memory, but also guarantees the convergence to （ ）.
A:local minimum
B:maximum
C:minimum
D:local maximum
答案: local minimum
2、 At present, researchers have successfully applied Hopfield neural network to solve the traveling salesman problem (TSP), which is the most representative of optimization combinatorial problems. （ ）
A:对
B:错
答案: 对
3、 In 1982, American scientist John Joseph Hopfield put forward a kind of feedback neural network “Hopfield neural network” in his paper Neural Networks and Physical Systems with Emergent Collective Computational Abilities. （ ）
A:错
B:对
答案: 对
4、 Under the excitation of input x, DHNN enters a dynamic change process, until the state of each neuron is no longer changed, it reaches a stable state. This process is equivalent to the process of network learning and memory, and the final output of the network is the value of each neuron in the stable state. （ ）
A:错
B:对
答案: 对
5、 The order in which neurons adjust their states is not unique. It can be considered that a certain order can be specified or selected randomly. The process of neuron state adjustment includes three situations: from 0 to 1, and 1 to 0 and unchanged. （ ）
A:错
B:对
答案: 对
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