Weight-losing exercise prescription generation method based on differential evolution algorithm
A differential evolution algorithm and exercise prescription technology, which is applied in calculation, health index calculation, computer components, etc., can solve the problem of not being able to recommend personalized exercise prescriptions, and achieve the effect of personalized formulation and guaranteed exercise effects
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[0153] The basic information of the exerciser in this embodiment is gender: female, height: 160, age: 25, weight: 70KG, the heart function ability of the exerciser is obtained through measurement and calculation: 2, body shape: Y type, fat percentage: 34.4, body mass index BMI: 27.3, lung capacity: 3483, step test: 4, sitting and forward bending: 7, disease: chickenpox, sports preference: running, mountain climbing.
[0154] Step 1. Use the above attributes to perform clustering operations on the user information base. The k-means algorithm is used for clustering. The value of clustering k is 23, and the number of iterations is 500. Determine the category of the athlete in this embodiment, and obtain a type of user whose physical condition is similar to that of the athlete in this embodiment.
[0155] In step 2, the exercise effect E is calculated using the change degree of the exerciser's weight W, chest circumference C, waist circumference G, and hip circumference H. For th...
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