✦ LIBER ✦

Use of Radial Basis Function Type Artificial Neural Networks for Runoff Simulation

✍ Scribed by A. W. Jayawardena; D. Achela K. Fernando

Book ID: 108507951
Publisher: John Wiley and Sons
Year: 1998
Tongue: English
Weight: 683 KB
Volume: 13
Category: Article
ISSN: 1093-9687
DOI: 10.1111/0885-9507.00089

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A radial basis function artificial neura

A radial basis function artificial neural network test for neglected nonlinearity

✍ Andrew P. Blake; George Kapetanios 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 83 KB

Rainfall-runoff modelling using artifici

Rainfall-runoff modelling using artificial neural networks: comparison of network types

✍ A. R. Senthil Kumar; K. P. Sudheer; S. K. Jain; P. K. Agarwal 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 206 KB

## Abstract Growing interest in the use of artificial neural networks (ANNs) in rainfall‐runoff modelling has suggested certain issues that are still not addressed properly. One such concern is the use of network type, as theoretical studies on a multi‐layer perceptron (MLP) with a sigmoid transfer

Estimation of Spatiotemporal Neural Acti

Estimation of Spatiotemporal Neural Activity Using Radial Basis Function Networks

✍ Russell W. Anderson; Sanjoy Das; Edward L. Keller 📂 Article 📅 1998 🏛 Springer US 🌐 English ⚖ 251 KB

Artificial neural network modeling of fi

Artificial neural network modeling of fixed bed biosorption using radial basis approach

✍ Dipendu Saha; Avijit Bhowal; Siddhartha Datta 📂 Article 📅 2010 🏛 Springer-Verlag 🌐 English ⚖ 326 KB

Forecasting stock indices using radial b

Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

✍ Wei Shen; Xiaopen Guo; Chao Wu; Desheng Wu 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 925 KB

Radial basis function artificial neural

Radial basis function artificial neural networks for the inference process in fuzzy logic based control

✍ N. C. Steele; C. R. Reeves; M. Nicholas; P. J. King 📂 Article 📅 1995 🏛 Springer Vienna 🌐 English ⚖ 894 KB