Sentence examples for multi-layer neural networks from inspiring English sources

Initially, multi-layer neural networks (MNN) are constructed as an alternative to approximate the nonlinear terms.

We develop the first SMT-based automated verification framework for feed-forward multi-layer neural networks that works directly with the code of the network, exploring it layer by layer.

Compared with conventional multi-layer neural networks, the test results also show accurate discrimination, fast learning, good adaptability, and faster processing time for detection.

We extend previous results for ADHDP control to the case of general multi-layer neural networks with deep learning across all layers.

This paper presents on-chip training circuits for multi-layer neural networks implemented using a single crossbar per layer and two memristors per synapse.

All unknown but repeatable nonlinear functions are approximated by outputs of multi-layer neural networks to achieve a better model compensation for an improved performance.

The second goal is to learn to implement single-layer and multi-layer neural network architectures using supervised learning rules to solve particular problems.

These inputs and the multi-layer neural network model are used to classify students as: graduates, late graduates, or non-graduates.

The (local) thickness of gravure printed light-emitting polymer (LEP) layers was analyzed using microdensitometry, after which the data was used to train a multi-layer neural network using error back propagation.

A multi-layer neural network and adaptive robust control techniques are also employed to preserve the controller robustness against unmodeled dynamics and environmental disturbances induced by waves and ocean currents.

The controller includes an adaptive multi-layer neural network to compensate for the modeling uncertainties of the system, and utilizes an auxiliary dynamics to provide a priori bounded tension command for the cables.