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Data modeling processing structure of big data genetic algorithm

A data modeling and genetic algorithm technology, applied in the field of big data genetic algorithm data modeling processing structure, can solve problems such as lack of feedback function, data loss, crash, etc., to achieve the effect of improving modeling quality and good performance

Active Publication Date: 2018-07-13
HUNAN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are still many deficiencies in the data modeling and processing structure of the big data genetic algorithm. For example, the data does not have a temporary storage stack function, which is prone to data loss and collapse. A more suitable mathematical model

Method used

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  • Data modeling processing structure of big data genetic algorithm
  • Data modeling processing structure of big data genetic algorithm
  • Data modeling processing structure of big data genetic algorithm

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with accompanying drawing:

[0023] Such as Figure 1-Figure 3 As shown, a large data genetic algorithm data modeling processing structure includes an information decoder 2, a data modeling processor 7 and an information compressor 11, and the information decoder 2 is provided with a docking data plug 1, and the information The decoder 2 is connected with the temporary storage stacker 3, the temporary storage stacker 3 is internally provided with a management port 5, the temporary storage stacker 3 is provided with storage particles 4, and the temporary storage stacker 3 is also provided with There is a storage slot 6, the data modeling processor 7 is arranged below the temporary storage stacker 3, the data modeling processor 7 is provided with a cooling fan 8, and the side of the cooling fan 8 is arranged There is an assembly groove 9, a dust cover 13 can be arranged on the heat dissipation fan 8, a ...

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Abstract

The invention discloses a data modeling processing structure of a big data genetic algorithm, which comprises an information encoder, a data modeling processor and an information compressor; an abutting data pin is arranged on the information encoder, the information encoder is connected with a temporary storage stacker; the inner part of the temporary storage stacker is provided with a managementport, and a storage grain is arranged on the temporary storage stacker; a storage plug slot is further arranged on the temporary storage stacker, the data modeling processor is arranged beneath the temporary storage stacker. A radiating fan is arranged on the data modeling processor, the side of the radiating fan is provided with an assembling groove. The data modeling processing structure has the beneficial effects that the data modeling processing structure has active radiating system and can guarantee good performance in working process; meanwhile, the data modeling processing structure has data stacking and temporary storage functions, and can store files under the emergency power failure; moreover, the data modeling processing structure has the functions of modeling, feedback and re-modeling, thus the modeling quality is improved.

Description

technical field [0001] The invention relates to the field of 3D printing equipment, and the invention relates to a large data genetic algorithm data modeling processing structure. Background technique [0002] Genetic Algorithm (Genetic Algorithm) is a kind of randomized search method evolved from the evolution law of the biological world (survival of the fittest, genetic mechanism of survival of the fittest). It was first proposed by Professor J.Holland in the United States in 1975. Its main feature is to directly operate on structural objects, without restrictions on derivation and function continuity; it has inherent implicit parallelism and better global optimization capabilities. ; Using a probabilistic optimization method, it can automatically obtain and guide the optimized search space, and adjust the search direction adaptively, without definite rules. These properties of genetic algorithms have been widely used in fields such as combinatorial optimization, machine ...

Claims

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Application Information

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IPC IPC(8): G06N3/12G06F1/20G06F3/06
CPCG06F1/20G06F3/0623G06F3/0638G06N3/126
Inventor 任长安罗庆云赵巾帼黄银珍吴斌曹赛衍乔伟通
Owner HUNAN INST OF TECH
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