drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

there is little consensus on the corporate diversification-efficiency relationship in the diversification literature. according to the corporate diversification, firms have a tendency to get more market share with diversifying in the local segment or in the international market. theoretically, a contradictory exists between the profitable strategy and the value reducing strategy in the diversif...

Forecasting a hydrologic time series has been one of the most complicated tasks owing to the wide range of data, the uncertainties in the parameters influencing the time series and also due to the non availability of adequate data. Recently Artificial Neural Networks (ANN) have become quite popular in time series forecasting in various fields. This paper demonstrates the use of ANN to forecast ...

Direct Sequence Code Division Multiple Access (DS-CDMA) is a schemewhere several users transmit their data simultaneously over common wireless communication channel,by spreading each by distinct codes. At the receiver, individual are detected appropriate decoding. In this paper, new smart receiver proposed for detecting DS-CDMA signals based on multi-layer Feed Forward Neural Network (FFNN). Th...

In the oil industry, productivity of wells depends on performance sub-surface equipment system. These systems often have problems stemming from sand, corrosion, internal pressure variation, or other factors. order to ensure high and avoid high-cost losses, it is essential identify source possible failures in early stage. However, this requires additional maintenance fees human power. Moreover, ...

In this Present study, the technique of wavelet transform and neural network were developed for speech based text-dependent and text0independent speaker identification. 390 feature were fed to feed-forward back propagation neural network for classification The function of feature extraction and classification are performed using wavelet and neural network system. The declared result shows that ...