[PDF] Top 20 Artificial Neural Network for Predicting Flood : A Review

... predict flood in rivers using simple and fast calculations to provide real time results and save the lives of people who may be affected by the flood by ringing an ... See full document

... in flood modeling, which recently gained more ...common flood frequency analysis (FFA) methods for modeling flood ...for predicting floods [27]. Regional flood frequency analyses (RFFA) ... See full document

... Neural network models originated from the work of McCulloch and Pitts in 1943 (Garson, ...by neural network models on IBM stock's daily returns (White, ...comprehensive review of ... See full document

... Hence, artificial neural network (ANN), a powerful tool for artificial intelligence (AI), which has the ability to mimic and automate the knowledge, has been proposed for detection and ... See full document

... used artificial intelligence models in the application of building energy ...brief review of the ANNs in energy applications in buildings, including solar water heating systems, solar radiation, wind speed, ... See full document

... perceptron neural networks (MLPs) based on data from only the force ...MLP neural network model. A commercial artificial neural network software was used to predict the target ... See full document

... ABSTRACT: Water resources management mainly deals with hydrological forecasting. In hydrological forecast mainly forecast of water level of reservoirs is done which is useful for various purposes. Forecasting techniques ... See full document

... In developing the proposed ANN model, we use the nonlinear Poisson regression model used in [29]. Network parameters are trained using the back propagation algorithm. In order to compute the Hessian matrix, which ... See full document

... Knowing that the random initial weights interfere in the final training result, five training instances were created aimed to select the one that had best performance. In each instance, the examples were executed 100,000 ... See full document

... However artificial neural network (ANN) pavement prediction models have been developed that can account for both the pavement conditions and the climate data and can estimate the relationship between ... See full document

... the neural network approach in predicting the ...the neural networks are trained on actual test data, they are trained to deal with inherent noisy or imprecise ...the neural ... See full document

... presented Artificial Neural Network (ANN) as one of the predicting methods to obtain more accurate predicted ...propagation neural network was implemented in this experiment to ... See full document

... 2011). Neural networks are trained for input data and the output is ...met. Neural networks have different learning algorithms for ...a neural network has to ... See full document

... and artificial neural network (ANN) were utilized and compared to each other in order to obtain appropriate predicting model with respect to sonication power (w), sonication time (min) and ... See full document

... the network (training, validation, and test) and performed a linear regression between the network ...the neural network R-value after simulation comes as ... See full document

... Various topologies (from 1 to 20 hidden neurons) were examined using quick propagation (QP) algorithm. Deci- sion on the optimum topology was based on the mini- mum error of testing. Each topology was repeated five times ... See full document

... PPI predicting techniques has worked to address many of these ...and Artificial Intelligence, we attempt to view this problem through a novel, deep learning ...convolutional neural-network ... See full document

... The predicting ability of RSM and ANN- GA were accessed in the study. The aforementioned techniques predicted all properties investigated at twenty experimental points. Details of this is presented in Figure 3(a - ... See full document

... Artificial Neural Network (ANN) is a computational tool based on biological neural network ...imaging[59], predicting corrosion behaviour[60] , [61] , [62] ... See full document

... employed artificial neural network method for predicting the sprayer drift under different conditions using image processing ...of predicting the output variables in different ... See full document