This paper is an attempt to assess the potential and usefulness of ANN based modeling for evaporation prediction from a reservoir, where in classical and empirical equations failed to predict the evaporation accurately. The meteorological data set of daily pan evaporation, temperature, solar radiation, relative humidity, wind speed is used in this study. The performance of feed forward back pro...

Prediction of protein secondary structure from the amino acid sequence is a classical bioinformatics problem. Common methods use feed forward neural networks or SVM’s combined with a sliding window, as these models does not naturally handle sequential data. Recurrent neural networks are an generalization of the feed forward neural network that naturally handle sequential data. We use a bidirect...

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, ...

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...

Analysis of a biolgically motivated neural network for character recognition. learning for multi-layer feed-forward neural networks using the conjugate gradient method. of japanese kanji using principal component analysis as a preprocessor to an articial neural network.

In this paper we propose a simple method for low-level navigation for autonomous mobile robots, employing an artificial neural network. Both corridor following and obstacle avoidance in indoor environments are managed by the same network. Raw grayscale images of size 32 × 23 pixels are processed one at a time by a feed-forward neural network. The output signals from the network directly control...