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|Title:||Recurrent neural networks: A constructive algorithm, and its properties||Authors:||Tsoia, A.C.
Modified least-squares algorithm
Online learning algorithm
Radial basis function
Recurrent neural networks
|Issue Date:||Jun-1997||Citation:||Tsoia, A.C., Tan, S. (1997-06). Recurrent neural networks: A constructive algorithm, and its properties. Neurocomputing 15 (3-4) : 309-326. ScholarBank@NUS Repository.||Abstract:||In this paper, a constructive algorithm for a general recurrent neural network is proposed based on radial basis functions. It is shown that this algorithm is globally convergent. In addition, we will present two examples to illustrate the proposed method.||Source Title:||Neurocomputing||URI:||http://scholarbank.nus.edu.sg/handle/10635/81068||ISSN:||09252312|
|Appears in Collections:||Staff Publications|
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