[PDF] Top 20 An artificial neural network model for rainfall forecasting in Bangkok, Thailand

... past rainfall data was not included since the data brings more zero value to the training process (for no rain pe- ...for model D, which included relative humidity, wet bulb temperature, air pressure, ... See full document

... a neural network, a time series and ANOVA ...developed an integrated artificial neural network and genetic algorithm framework to predict electrical energy consumption ... See full document

... of network error. The ANN trained time series are capable to model arbitrarily linear and nonlinear ...utilizing in the various different fields such as time series forecasting and specially ... See full document

... terrain model (DTM) can be used to classify the local relief and locate points of maximum and minimum ...A model with a 100-m cell size was created from 20-m contour lines on the 1:25 000 topographic ... See full document

... of an ANN is achieved by providing a stimu- lus to the neuronal model, calculating the output, and adjust- ing the weights until the desired output is ...achieved. An entry is submitted to the ANN ... See full document

... a forecasting model in predicting tourism demand, as represented by the number of Monthly Guest Nights in Hotels in the North of ...The Artificial Neural Networks (ANN) ... See full document

... results in a condition which provides an upper boundary of the learning ...error, an adaptive learning factor is calculated at iteration satisfying the convergence ...with an adaptive learning ... See full document

... on forecasting inflation in an aggregate perspective using the Phillips curve for Hong Kong, Japan, Taiwan and the US by artificial neural network-based thin and thick mod- ... See full document

... Abstract--Artificial neural network (ANN) has been used for many years in sectors and disciplines like medical science, defence industry, robotics, electronics, economy, forecasts, ...ANN ... See full document

... Artificial Neural Network (ANN) model: Artificial Neural Network (ANN) methodology allows us to develop nonlinear systems receiving large quantities of inputs that ... See full document

... reported in this paper aims to investigate the potential of artificial neural networks (ANN) in solving the forecast task in the most general case, when the time series are ... See full document

... tools in forecasting purposes among the hydrologists for enhanced decision ...aspect in selecting an appropriate forecasting ...seasonal rainfall forecasting models were ... See full document

... cost in software development effort is manpower, software project effort and is associated cost estimation models are used in estimating the effort required to complete a ...rates. An initial ... See full document

... behaviour in the ...pollutants in the environment and number of SARS cases over time are some of examples of time ...make forecasting time series notoriously ... See full document

... novel neural model to the problem of short-term load forecasting ...The neural model is made up of two self-organizing map (SOM) nets—one on top of the ...domains in which the ... See full document

... stage in order to have a successful ...invasive in order to permit its widespread application ...portant in any experimental therapeutic agent, and oncolytic viruses are not different in ... See full document

... RESUMO - O estudo da diversidade genética é de fundamental importância na seleção preliminar de acessos com características superiores e a utilização desses materiais com sucesso em programas de melhoramento genético. O ... See full document

... proposed network (2-25-3). The transfer function in the hidden layer was of a sigmoid type, while a linear transfer function (purelin) was used in the output layer (TRIPATHY; KUMAR, ...a ... See full document

... Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process ...system. Neural networks, have ... See full document

... solutions. Artificial Neural Network (ANN) is a model of biological neuron ...Propagation Network (MLBPN). In BPN the weights of input-hidden layers and hidden-output layers are ... See full document