Sentence examples for backpropagation network from inspiring English sources

The proposed approach consists of an ARIMA methodology and feed-forward, backpropagation network structure with an optimized conjugated training algorithm.

A comparative evaluation of the K-NN, fuzzy K-NN, conventional backpropagation network, and proposed neuro-fuzzy projection network classifiers is carried out.

Lecun Y, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, Jackel LD (1990) Handwritten digit recognition with a backpropagation network Advances in Neural Information Processing Systems, Touretzky D, ed.

A backpropagation network with nine neurons in the hidden layer obtains improvements couples (mean absolute – mean squared error) of 23.92 47.48%, and 23.19 45.54% for the persistence and the ARIMA models, respectively.

We illustrate these concepts by the analysis of the Hebbian and Widrow Hoff rules and some basic neural network architectures (i.e., the linear autoassociator, the linear heteroassociator, and the error backpropagation network).

ANN models are based on feedforward backpropagation network with training functions resilient backpropagation (RP), one step secant (OSS) and Powell Beale restarts (CGB) and radial basis with training functions generalized regression neural network (GRNN) and more efficient design radial basis network (NEWRB).

A practical Bayesian framework for backpropagation networks.

A Performance Analysis of the CNS-1 on Large, Dense Backpropagation Networks.

In particular, networks trained by this learning rule are found to outperform standard backpropagation networks with novel patterns in the diagnosis problem.

Backpropagation networks are chosen for the proposed network, which is written using the programming package MAT-LAB.

Such networks associated with the back propagation learning algorithm are also called backpropagation networks [31 35].