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In this paper, feed forward neural network with one input layer, one hidden layer and one output layer was applied using MATLAB neural network toolbox for trophic state index (TSI) analysis in the Dez Dam reservoir.

In this paper, feed forward neural network with one input layer, one hidden layer and one output layer was applied using MATLAB neural network toolbox for TSI analysis in the Dez Dam reservoir (Fig. 3).

In this paper, feed forward back-propagation (BP) neural network is used, which is a powerful learning system from the learning point of view.

In this paper, feed-forward techniques are revised and used for the design of high-frequency operational transconductance amplifiers (OTA).

And in this paper, feed-in-tariff subsidy and emission trading are selected as the typical renewable energy promotion and emission regulation measures, respectively, as shown in Fig. 4.

In this paper, feed-forward artificial neural networks (ANNs) techniques are used to model the relative change in compressive strength and relative change in UPV in cyclic thermal loading.

In this paper, feed-forward type networks will be developed to simulate the rainfall field and a so-called back propagation (BP) algorithm coupled with genetic algorithm (GA) will be used to train and optimize the networks.

Furthermore, in order to enhance the overall detection accuracy, this paper feeds back the detection results based on the estimated bit error rate (BER) by RSU to TSU.

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