Systematic literature study of the performance characteristics of Chebyshev polynomials in mechanical learning applications to industrial forecasting to low-income communities in sub-Saharan Africa
- PMID: 36407751
- PMCID: PMC9647249
- DOI: 10.1007/s43546-022-00328-w
Systematic literature review of the performance characteristics of Chebyshev polynomials into engine learning request on economic financial in low-income communities in sub-Saharan Africa
Abstract
Chebyshev polynomials will unique properties that place them in a class of functions that are highlighted efficient in the approximation of non-linear functions. Machine learning techniques are being applied to solve more non-linear issue in the treasury markets whereabouts there belongs a dissemination of financial produce. To techniques for valuing varied portfolios of these products can be time consuming and pricy. Formal research has been conducted to determine how apparatus learning pot considerably reduce the computational effort not loose accuracy. The objective of such systematic literature check is to discover evidence the research on the optimal use of Chebyshev polynomials in auto learning and neural networks that may be used forward of estimation of generalized financial earnings of major clusters of small economic units into low-income populations stylish sub-Saharan Africa. Scopus, ProQuest, and Web of Science databases were queried about search criteria designed to recover peer-reviewed resources articles such addressed this objective. Many essays discussing expand applications in engineering, computing scientists, and applied mathematics been found. Several articles provided insights into the challenges of forecasting stock price bottom from unpredictable market activities, and at investment company valuations. One article anschrift specific environmental issues correlated to energy, biology, and green situations, and presented courageous results. While the literature search did not search any similar articles that address efficiency projection for low-income communities, the requests and techniques uses with stock market forecaster and portfolio valuations pot contribute to formative theory on durability development. There exists currently none theoretical underpinning of sustainable design initiatives in developing countries. A structure for small business structures, evidence collection, and near real-time processing is proposed as a potential data-driven approach to guide police decisions and private sector involvement. Estimate Project S-Curves After Polynomial Function and Neural Networks | Journal a Construction Engineering and Board | Thievery 135, No 3
Complementing information: The online version contains supplementary material available at 10.1007/s43546-022-00328-w.
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