Search Results - subject:"Recurrent neural network"

Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China

Wang, Jianzhou; Qin, Shanshan; Zhou, Qingping; Jiang, Haiyan - In: Renewable Energy 76 (2015) C, pp. 91-101

recurrent neural network (ERNN) methods to construct the hybrid models named PMERNN and PAERNN. Then, this paper presents a …

Persistent link: https://www.econbiz.de/10011189865

Long-range prediction of retail sales using recurrent radial basis function neural network

Rout, Minakhi; Majhi, Babita - In: International journal of foresight and innovation … 10 (2015) 1, pp. 29-47

Persistent link: https://www.econbiz.de/10011524611

A multiple adaptive wavelet recurrent neural network model to analyze crude oil prices

Mingming, Tang; Jinliang, Zhang - In: Journal of Economics and Business 64 (2012) 4, pp. 275-286

forecasting ability. In this study, we constructed a multiple wavelet recurrent neural network (MWRNN) simulation model, in which …

Persistent link: https://www.econbiz.de/10010574962

Application of echo state networks in short-term electric load forecasting

Deihimi, Ali; Showkati, Hemen - In: Energy 39 (2012) 1, pp. 327-340

. ESN as the state-of-the-art recurrent neural network (RNN) gains a reservoir of dynamics tapped by trained output units …

Persistent link: https://www.econbiz.de/10010808024

Generalized recurrent neural network for ϵ-insensitive support vector regression

Zhao, Yan; Liu, Qingshan - In: Mathematics and Computers in Simulation (MATCOM) 86 (2012) C, pp. 2-9

In this paper, a generalized recurrent neural network is proposed for solving ϵ-insensitive support vector regression … neural network with lower model complexity is designed for training the support vector machine. Furthermore, simulation … (ϵ-ISVR). The ϵ-ISVR is first formulated as a convex non-smooth programming problem, and then a generalize recurrent …

Persistent link: https://www.econbiz.de/10011051206

Comparison of Recurrent Neural Network, Adaptive Neuro-Fuzzy Inference System and Stochastic Models in Eğirdir Lake Level Forecasting

Güldal, Veysel; Tongal, Hakan - In: Water Resources Management 24 (2010) 1, pp. 105-128

Lake Region, one of the biggest fresh water lakes of Turkey. For this aim, recurrent neural network (RNN), adaptive network …

Persistent link: https://www.econbiz.de/10010997376

Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures

Kiani, Khurshid; Kastens, Terry - In: Computational Economics 32 (2008) 4, pp. 383-406

Persistent link: https://www.econbiz.de/10005542302

Complex-valued forecasting of wind profile

Goh, S.L.; Chen, M.; Popović, D.H.; Aihara, K.; … - In: Renewable Energy 31 (2006) 11, pp. 1733-1750

This paper presents a novel approach for the simultaneous modelling and forecasting of wind signal components. This is achieved in the complex domain by using novel neural network algorithms and architectures. We first perform a signal nonlinearity and component-dependent analyses, which suggest...

Persistent link: https://www.econbiz.de/10011046347