Infant interactive learning editing method based on ant colony algorithm
An ant colony algorithm and technology for young children, applied in the field of interactive learning and editing for young children based on ant colony algorithm, can solve problems such as inconvenient understanding of children's hobbies and emotions, inconvenient analysis of children's facial expressions and interests, and inability to learn and remember children , to achieve the effect of avoiding falling into local extremum, good judgment and recognition, and reducing running time
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Embodiment 1
[0048] see figure 1 , the present invention provides a kind of technical scheme: the children's interactive learning editing method based on ant colony algorithm, comprises the following steps:
[0049] S1. Establish mobile video education software based on ant colony algorithm;
[0050] S2. optimize the ant colony algorithm;
[0051] S3. Carry out interest analysis to the facial expression of cheeper based on video;
[0052] S4. Analyzing the emotion of the child based on the facial expression.
[0053] In this embodiment, preferably, the mobile terminal video education software in S1 includes movies, animation episodes, games, electronic books, songs, and Disney theme parks.
[0054] In this embodiment, preferably, optimizing the ant colony algorithm in S2 specifically includes the following steps:
[0055] S21. Initialize the parameters of the ant colony algorithm, and input the node coordinates of the traveling salesman problem;
[0056] S22. Randomly put each ant int...
Embodiment 2
[0084] see figure 1 , the present invention provides a kind of technical scheme: the children's interactive learning editing method based on ant colony algorithm, comprises the following steps:
[0085] S1. Establish mobile video education software based on ant colony algorithm;
[0086] S2. optimize the ant colony algorithm;
[0087] S3. Carry out interest analysis to the facial expression of cheeper based on video;
[0088] S4. Analyzing the emotion of the child based on the facial expression.
[0089] In this embodiment, preferably, the mobile terminal video education software in S1 includes movies, animation episodes, games, electronic books, songs, and Disney theme parks.
[0090] In this embodiment, preferably, optimizing the ant colony algorithm in S2 specifically includes the following steps:
[0091] S21. Initialize the parameters of the ant colony algorithm, and input the node coordinates of the traveling salesman problem;
[0092] S22. Randomly put each ant int...
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