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Efficient machine learning algorithm and device based on normal equation and readable storage medium

A machine learning and normal equation technology, applied in machine learning, complex mathematical operations, instruments, etc., can solve problems such as complex algorithm model construction, reduce computational difficulty, avoid modeling steps, and improve computational efficiency.

Pending Publication Date: 2020-07-10
SHENZHEN POLYTECHNIC
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Problems solved by technology

[0005] Based on this, the purpose of the present invention is to solve the problem that the existing normal equation-based algorithm model construction is relatively complicated, and the computational efficiency of machine learning is limited to a certain extent.

Method used

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  • Efficient machine learning algorithm and device based on normal equation and readable storage medium
  • Efficient machine learning algorithm and device based on normal equation and readable storage medium
  • Efficient machine learning algorithm and device based on normal equation and readable storage medium

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Embodiment 1

[0053] In order to solve this technical problem, the present invention proposes an efficient machine learning algorithm based on normal equations, please refer to Figure 1 to Figure 4, the high-efficiency machine learning algorithm based on normal equations proposed by the first embodiment of the present invention includes the following steps:

[0054] S101. Perform a transpose operation on a current heartbeat matrix to obtain a heartbeat transpose matrix, and multiply the current heartbeat matrix by the heartbeat transpose matrix to obtain a first heartbeat matrix.

[0055] In this step, the matrix expression of the above-mentioned current cardiac matrix is:

[0056]

[0057] Among them, X is a matrix of m*(n+1), m represents the number of samples, n represents the number of feature vectors, and x (i) represents the i-th sample. Furthermore, for x with n features (i) , it can be expressed as:

[0058]

[0059] In this embodiment, when the above-mentioned current ca...

Embodiment 2

[0110] The present invention also proposes an efficient machine learning device based on normal equations, please refer to Figure 5 , for the high-efficiency machine learning device based on normal equations proposed in the second embodiment of the present invention, it includes a transposition operation module 11, an inversion operation module 12, and a model construction module 13 connected in sequence;

[0111] Wherein, the transpose operation module 11 is used to perform transpose operation on the current cardiac matrix to obtain the cardiac transpose matrix, and multiply the current cardiac matrix and the cardiac transpose matrix to obtain the first cardiac matrix ;

[0112] The inversion operation module 12 is used for inverting the first cardiac matrix to obtain a first inverse matrix, and multiplying the first inverse matrix by the cardiac transposition matrix to obtain a second cardiac matrix;

[0113] The model construction module 13 is used to obtain a weight vect...

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Abstract

The invention relates to an efficient machine learning algorithm and device based on a normal equation and a readable storage medium, and the method comprises the steps: carrying out the transpositionoperation of a current cardiac matrix, so as to obtain a cardiac transposition matrix, and multiplying the current cardiac matrix with the cardiac transposition matrix, so as to obtain a first cardiac matrix; inverting the first cardiac matrix to obtain a first inverse matrix, and multiplying the first inverse matrix by the cardiac transpose matrix to obtain a second cardiac matrix; obtaining a weight vector through vector multiplication calculation according to the second cardiac matrix and the tag set, constructing a machine learning algorithm model according to the weight vector, and calculating by a computer. According to the efficient machine learning algorithm based on the regular equation, the modeling efficiency can be improved, the calculation complexity is reduced, and the calculation efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of machine learning algorithms, in particular to an efficient machine learning algorithm based on normal equations, a device and a readable storage medium. Background technique [0002] With the development of computer science, machine learning, as a branch of computer science and statistics, has become an important computing science. Specifically, machine learning studies computer algorithms and architectures by learning to observe facts, and is currently considered to be the main technology for realizing artificial intelligence. It can be used to develop artificial intelligence software, hardware and intelligent machines. With the rapid development of computer science, machine learning technology will shine in efficient web search, practical speech recognition, face recognition, automatic driving of cars, and genetic prediction. [0003] Generally, researchers generally believe that machine learning algo...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06F17/16
CPCG06F17/16G06N20/00
Inventor 易海博聂哲
Owner SHENZHEN POLYTECHNIC
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