The following statements about the basic characteristics of artificial neural networks are correct()
A. The strength of the connection between neurons determines the strength of signal transmission
B. The connection strength between neurons can be changed with training
C. The cumulative effect of signals received by a neuron determines the state of the neuron
D. The signal can be stimulating or suppressive
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The following statements about BP network are correct ()
A. BP network is a feedback network
B. Traditional BP networks generally use secondary networks.
C. The basic BP algorithm includes two processes of signal forward propagation and error back propagation
D. The three core parts of the BP neural network learning algorithm are weight adjustment, output layer connection weight adjustment, and hidden layer connection weight adjustment.
Among the following statements about machine learning, the correct one is()
According to different learning theories, machine learning models can be divided into supervised learning, semi-supervised learning, unsupervised learning, and reinforcement learning.
B. In practical applications, machine learning is mainly based on unsupervised learning or semi-supervised learning.
C. The supervision of supervised learning is reflected in the fact that all the data to be processed by the machine must be manually defined the corresponding category, and then the classification algorithm is trained, and finally the usable classifier is obtained.
D. Supervised learning data sets are labeled, unsupervised compared to supervised, there is no training process, but directly use the data for modeling and analysis
Among the following options are characteristics of reinforcement learning ()
A. No supervision
B. The feedback is not timely and delayed
C. Data serialization, data is related to data
D. Strong versatility and promotion
The following options are common methods of transfer learning()
A. Sample-based transfer learning
B. Feature-based transfer learning
C. Model-based transfer learning
D. Relationship-based transfer learning
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