期刊论文详细信息
Entropy | |
The Fractional Differential Polynomial Neural Network for Approximation of Functions | |
关键词: fractional calculus; fractional differential equations; fractional polynomial neural network; | |
DOI : 10.3390/e15104188 | |
来源: mdpi | |
【 摘 要 】
In this work, we introduce a generalization of the differential polynomial neural network utilizing fractional calculus. Fractional calculus is taken in the sense of the Caputo differential operator. It approximates a multi-parametric function with particular polynomials characterizing its functional output as a generalization of input patterns. This method can be employed on data to describe modelling of complex systems. Furthermore, the total information is calculated by using the fractional Poisson process.
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190033111ZK.pdf | 296KB | download |