The basic information of the problem is: ()
A. Initial state set: defines the initial state of the problem.
B. Operator set: A set of actions to transform a problem from one state to another.
C. target detection function: used to determine whether a state is a target.
D. Path cost function: a function that assigns a certain cost to each path.
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() is false statement about Perceptron model.
A. The perceptron model is composed of input layer and output layer without loss of generality.
B. The essence of Perceptrons is a linear classification model suitable for dividing certain data into two types.
C. Perceptron can solve xor problems.
D. Basic idea of perceptron learning: the change of connection weight between neural units is proportional to the difference between the expected output of the output unit and the actual output.
In the following options, which are not commonly used in environment modeling ()
A. Visual graph method
B. Free space law
C. Grids
D. Artificial potential field method
Which of the following is an image segmentation method in robot vision technology()
A. Segmentation algorithm based on threshold
B. Edge-based segmentation algorithm
C. Region-based segmentation algorithm
D. Segmentation algorithm based on features
The following is not a computer simulation of human communication process is ()
A. Convert human voice into language
B. Convert the language to the corresponding voice
C. Recognize speech content of expression language
D. Understand the meaning of speech