Prediction of unconfined compressive strength of rock surrounding a roadway using artificial neural network

Stress Analysis of Segmental Tunnel Lining Using Artificial Neural Network

“…The aim of model is to simulate the act of human brain nature based on trial and error method using neurons [34,45]. There are a large number of interconnections among the neurons in an ANN model.…”

“…Transform functions are used to transform the weighted sum of all input signals towards a neuron and calculate the output response of neuron. TANSIG and LOGSIG are two efficient non-liner sigmoid transform functions used in neural networks [37]. The output of an input layer is used as input for the hidden layer(s) and the same rule is applicable between hidden layer(s) and output layer, respectively.…”

“…ANN approach has been used widely in geotechnical and geomechanical engineering problems [30][31][32][33][34][35][36][37][38][39][40][41][42]. Due to above mentioned defects of numerical, experimental and analytical methods in design of segmental tunnel lining, application of ANN methods seems to be a new alternative solution as prediction tools.…”

Prediction of suspended sediment concentration from water quality variables

“…To that end, cosine amplitude method was selected. This method is one of the sensitivity analysis methods that is used to express similarity relations between the related parameters [15,35]. In this method, all the relevant data pairs are expressed in a common X-space.…”

“…Recently, the neural networks approach has been applied to many branches of science [12][13][14][15][16]. The approach is becoming a strong tool for providing hydraulic and environmental engineers with sufficient details for design purposes and management practices.…”