The wrong statement about the significance of perceptron is ()
A. Perceptron is a pioneering work of artificial neural network to solve linear classification problem.
Because the perceptron is simple and easy to understand, it is appropriate to be the entry model of artificial neural network learning.
C. Perceptron is the first artificial neural network model that can solve XOR problem
D. Because the perceptron can't solve the problem of nonlinear classification, it inspires many kinds of artificial neural network models. Explanation: The perceptron does not solve the XOR problem.
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() is not an intuitive feature of patterns
A. Observability
B. Predictability
C. Similarity
Differentiability
() is not the application of speech recognition technology
A. Voice search
B. Song recognition
C. Voice control
D. Biometrics
The following is about the development history of Chinese machine translation. Incorrect is ()
A. In 1956, China began to study machine translation, and in 1987, the Chinese Academy of Military Sciences successfully developed ‘Ke translate No. 3’, which marks the beginning of our machine translation system.
B. At the end of 1997, Oriental Express set off the climax of translation software in China with the slogan of ‘intelligent Chinese’.
C. At the end of 1997, Oriental Express set off the climax of translation software in China with the slogan of ‘intelligent Chinese’.
D. In 1998, the most popular year of Chinese translation software, dozens of translation software appeared in China, such as general translation, translation star, Landau, instant communication, Chinese God, Internet Dictionary, etc.
Traditional game theory has encountered obvious difficulties in computer go game, excluding ()
A. Go has a huge search space.
B. The board evaluation is closely related to the game tree search. Only by analyzing the possibility of falling in the future can we accurately determine the relationship between chess pieces.
C. High level go knowledge is also difficult to induce, there are often exceptions after induction, and in the process of building go knowledge and rules by hand, there are often contradictions that lead to inconsistency.
D. Computer cannot fully understand the rules of traditional game theory.
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