One of the most significant factors influencing the liquidity of the financial market is the amount of currency in circulation. Although the central bank is responsible for the distribution of the currency it cannot assess the demand for the currency, as that demand is influenced by the non-banking sector. Therefore, the amount of currency in circulation has to be forecasted. This paper introdu...

The objective of this study was to apply an improved Group Method of Data Handling (GMDH) network model for prediction of debris flow by integrating dynamic rainfall data and environmental factors. The rainfall data were collected from weather information, and the environmental data were extracted from RS, GIS, drilling data, and geophysical data. The input variables used in the SAGA-GMDH model...

Increasing of head rise (HR) and decreasing of head loss (HL), simultaneously, are important purpose in the design of different types of fans. Therefore, multi-objective optimization process is more applicable for the design of such turbo machines. In the present study, multi-objective optimization of Forward-Curved (FC) blades centrifugal fans is performed at three steps. At the first step, He...

Abstract Wines are usually evaluated by wine experts and enthusiasts who give numeric ratings as well text reviews. While most classification studies have been based on conventional statistical models using variables, there has very limited work implementing neural network In this paper, we apply (CNN, BiLSTM, BERT) to extract useful information from reviews classify wines according different r...

This paper evaluates the weak-form efficiency of the crude oil markets using the artificial neural network (ANN) model. Based on the daily historical data of the West Texas Intermediate (WTI) crude oil spot price over the period (02 January 198631 December 2013), the model was trained using backpropagation algorithm. The output of the neural network represents the predicted prices which are con...

This paper employs a neural network (NN) to study the nonlinear predictability of exchange rates for four currencies at the 1-, 6and 12-month forecast horizons. We find that our neural network model with market fundamentals cannot beat the random walk (RW) in out-of-sample forecast accuracy, although it occasionally shows a limited market-timing ability. The neural network model without monetar...

Any discussion on exchange rate movements and forecasting should include explanatory variables from both the current account and the capital account of the balance of payments. In this paper, we include such factors to forecast the value of the Indian rupee vis a vis the US Dollar. Further, factors reflecting political instability and lack of mechanism for enforcement of contracts that can affe...

Coagulation-flocculation is the most important parts of water treatment process. Traditionally, optimum pre coagulant dosage is determined by used jar tests in laboratory. However; jar tests are time-consuming, expensive, and less adaptive to changes in raw water quality in real time. Soft computing can be used to overcome these limitations. In this paper, multi-objective evolutionary Pareto op...