Author:
Tiwari Mukesh Kumar,Kumar Sanjeet
Reference49 articles.
1. Abdullah SS, Malek M, Abdullah NS, Kisi O, Yap KS (2015) Extreme learning machines: a new approach for prediction of reference evapotranspiration. J Hydrol 527:184–195
2. Abrahart RJ, Anctil F, Coulibaly P, Dawson CW, Mount NJ, See LM, Shamseldin AY, Solomatine DP, Toth E, Wilby RL (2012) Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting. Prog Phy Geogr 36(4):480–513
3. Acharya N, Shrivastava NA, Panigrahi B, Mohanty U (2013) Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine. Clim Dyn 43(5):1–8
4. Adamowski JF (2008) Peak daily water demand forecast modeling using artificial neural networks. J Water Resour Plann Manage 134(2):119–128
5. Adamowski J, Adamowski K, Prokoph A (2013) A spectral analysis based methodology to detect climatological influences on daily urban water demand. Math Geosci 45(1):49–68
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