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- W4383566650 abstract "In this chapter, the extreme learning machine (ELM) as a fast and nontuned powerful ML approach will be presented and discussed in detail. The fact that the ELM does not require fine-tuning of parameters is an important advantage when compared to classical ML-based approaches. In the following subsection, the background of the ELM is provided as well as a discussion on the advantages of this modeling technique. Following this, the fundamental mathematical equations that form the basis of the ELM are presented. The mathematical foundation of the ELM is a requirement for advanced users seeking to develop novel ELM codes for specific applications. For beginner users, such a deep understanding of the ELM mathematical background is not a requirement for the successful employment of the algorithm in solving practical problems. To facilitate the application of the ELM for beginner users, a novel calculator is proposed and described in detail." @default.
- W4383566650 created "2023-07-08" @default.
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- W4383566650 date "2023-01-01" @default.
- W4383566650 modified "2023-10-17" @default.
- W4383566650 title "Non-tuned single-layer feed-forward neural network learning machine—concept" @default.
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- W4383566650 doi "https://doi.org/10.1016/b978-0-443-15284-9.00001-x" @default.
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