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Saliency analysis of the results permitted an optimization of the networks' architectures.
Optical networks involve a number of technologies from the physics of light through protocols and networks architectures.
To achieve this objective, we propose the combination of different feedforward neural networks architectures adapted to the specific requirements of the physical system under study.
This paper proposes neural networks architectures that are inspired from the general form of the well-known traffic model but which have the advantage to be easier in identification and which track real traffic data more correctly.
The robustness for several guidance laws is investigated by simulations, and the modular neural networks architectures are used to increase the approximating and generalizing abilities in the large state space.
It reveals the profits of using bionic algorithms not only from a medical point but also includes comparison of neural networks architectures and training method variations and their influence on percentage of correctly classified inputs.
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Figure 1 Underwater acoustic sensor networks architecture.
Title Bacterial quorum-sensing network architectures.
S.K.S. designed the network architectures, analyzed and evaluated data.
Intrinsic and task-evoked network architectures of the human brain.
Some use a combination of neural network architectures.
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