new feature selection method by a semi supervised classification algorithm for time series estimation
In this research, 12 approaches were proposed to create an optimal vector based on supporting vector machine and neural networks based on genetic algorithm, cuckoo and particle swarm Optimization (PSO). In this regard, we have tried to design a system that reduces the cost of data collection. For th...
Main Authors: | raziyeh mohammadi, Farshid Keynia |
---|---|
Format: | Article |
Language: | fas |
Published: |
Semnan University
2019-12-01
|
Series: | مجله مدل سازی در مهندسی |
Subjects: | |
Online Access: | https://modelling.semnan.ac.ir/article_4095_e297f5131956bb147e90eb383e205d44.pdf |
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