Neural Networks and Deep Learning Algorithm

John Lee (), Jow-Ran Chang (), Lie-Jane Kao () and Cheng-Few Lee ()
Additional contact information
John Lee: Center for PBBEF Research
Jow-Ran Chang: National Tsing Hua University
Lie-Jane Kao: Takming University of Science and Technology, College of Finance
Cheng-Few Lee: The State University of New Jersey, Rutgers School of Business

Chapter Chapter 13 in Essentials of Excel VBA, Python, and R, 2023, pp 279-284 from Springer

Abstract: Abstract In Chap. 11 , we considered a model f(x) = $${\varvec{\phi}}\left({{\varvec{x}}}_{i}\right){\varvec{w}}$$ ϕ x i w , where the initial input vector x is replaced by feature vector ϕ(x) = [ϕ0(x), …, ϕM(x)]′. As ideal basis functions ϕ(x) should be localized or adaptive w.r.t. x, we cluster the input dataset {xi|1 ≤ i ≤ N} ⊂ RD into M clusters, and let {μj, 0 ≤ j ≤ M-1} will be the centers of the clusters.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-14283-3_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031142833

DOI: 10.1007/978-3-031-14283-3_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().