Among the following statements about human reason and artificial intelligence, the wrong ones are ()
A. The functions of human rationality that are very meaningful for humans and artificial intelligence mainly include: cognitive rationality, method rationality and value rationality.
B. Cognitive rationality is the advanced intelligence of human beings, which is one of the ultimate goal abilities of strong artificial intelligence, at present, artificial intelligence has cognitive rationality.
C. Method rationality only pays attention to method and tool itself, and emphasizes that the characteristic and function value of rationality is to realize any purpose as the most effective tool and means.
D. The value of value rationality to AI lies in that it provides theoretical and philosophical basis for the design of AI ethics, legal system and morality, and makes the development of AI on a sound track.
The wrong statement about supervised learning classification is ()
A. The support vector machine method is suitable for high-dimensional space, and can be effectively used for small data sets.
B. In KNN nearest neighbor method, a large K value can reduce the influence of noise and make the boundary between categories clear.
C. The purpose of decision tree learning is to deal with decision trees without strong ability of example.
D. Naive Bayes is a method that allows the classifier to be constructed in a simple and direct way.
() is false statement about BP neural network.
A. BP network is a kind of feed-forward network, whose hidden elements must be layered, also known as multi-layer feed-forward network.
B. The purpose of back propagation is to modify the weights of neurons in each layer to minimize error signals.
C. Forward propagation is the transmission of input information from the input layer to the hidden layer and finally to the output layer.
D. The three core parts of d. BBP neural network learning algorithm are weight adjustment, output layer connection weight adjustment and hidden layer connection weight adjustment.
() is a typical fuzzy inference method
A. Takagi-Mamdani fuzzy inference method
B. Takagi-Larsen fuzzy inference method
C. Takagi-Zadeh fuzzy inference method
D. Takagi-Sugeno fuzzy inference method
The following statement is wrong ()
A. Big data belongs to batch analysis.
Big data, real-time analysis rather than batch analysis.
C. Data in big data interact frequently.
D. The value density of big data is low.
E. In big data analysis, not using random samples, but using all data for analysis.
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