A dairy cow daily ration digestion energy prediction method based on a nuclear extreme learning machine

Abstract

The invention provides a dairy cow daily ration digestion energy prediction method based on a nuclear extreme learning machine, and belongs to the field of livestock and poultry daily ration nutritional value evaluation, the method comprises the following steps: (1) actually measuring dairy cow daily ration nutrient intake and digestion energy data, generating dairy cow daily ration digestion energy prediction samples, and dividing the dairy cow daily ration digestion energy prediction samples into a training sample set and a test sample set; (2) constructing extreme learning machine network output for the established training sample set, and representing the extreme learning machine network output in a matrix form; (3) selecting a Gaussian kernel function to solve, determining a parameterset of the kernel function, and obtaining an output function based on the KELM prediction model; and (4) comparing the test sample with the prediction result of the KELM model, calculating the average absolute error, the average absolute percentage error and the root-mean-square error of the predicted digestion energy and the real value, and evaluating the effectiveness of the prediction method.The prediction method provided by the invention belongs to a non-parameter machine learning model, effective prediction can be carried out only by learning the training samples, and relatively high prediction precision can be obtained.

Description

Technical field: [0001] The invention belongs to the field of nutritional value evaluation of livestock and poultry diets, and in particular relates to a method for predicting digestible energy of dairy cow diets based on a nuclear extreme learning machine. Background technique: [0002] Comprehensive and accurate evaluation of ration nutrition and feeding value is a long-term concern of livestock farmers, feed suppliers and animal nutrition experts. Among them, the prediction and evaluation of energy digestion of dairy cow ration is an important factor to measure feed nutrition and feeding value. aspect. By establishing a predictive model of dairy cow ration digestible energy, it is possible to accurately grasp the digestibility of dairy cow ration energy in advance, so as to optimize feed formulation and management, thereby improving breeding efficiency, and also meeting the development needs of modern animal husbandry and precision farming. [0003] The traditional mathe...

AI Technical Summary

Problems solved by technology

However, since the animal body itself, including cows, is a complex system, such assumptions for predictive models do not always hold true, and when they do not hold, large errors can occur

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