Sentence examples for using the backpropagation optimization from inspiring English sources

The neural network (NN) is trained on-line using the backpropagation optimization algorithm with an adaptive learning rate.

Three-Layer Perceptron-Type Neural Networks: Neural network implementation using the backpropagation algorithm for weight optimisation [22].

In our proposed system, the cost function J sparse(W,b) is minimized using the limited memory BFGS (L-BFGS) optimization algorithm [40, 41] and the single-layer sparse autoencoder is trained by using the backpropagation algorithm.

Different ANNs were trained using the backpropagation learning algorithm.

The ANN weights are learned from the labeled training data using the backpropagation algorithm [32].

The artificial networks were trained using the backpropagation algorithm and production data obtained from a worldwide database of geothermal wells.

The log-sigmoid transfer function is used in multilayer networks that are trained using the backpropagation algorithm because this function is differentiable.

After configuring the DBN using RBMs, it is discriminatively trained using the backpropagation algorithm [48] to maximize the log probability of the class labels.

The effectiveness of the derived training algorithm is demonstrated by computation of three numerical examples performed for proposed FRBF Network approach using the Backpropagation algorithm.

To learn the parameters (weights and bias), we train the network using the backpropagation gradient-descent procedure [21] with a mini-batch size of 48.

Previous research utilised a neural network structure manually optimised using the Taguchi method with the connection weights trained using the Backpropagation rule.