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The mapping is achieved by the context perception layer through computation, inference and learning techniques.
In the perception layer, a low-cost IP camera with a line detection algorithm detects the road line.
The proposed network architecture is designed as four layers: perception layer, network layer, cloud computing layer, and application layer.
Forecast engine is a multilayer perception layer (MLP) NN with hybrid Levenberg Marquardt (LM) and Differential Evolutionary (DE) learning algorithm.
The context perception layer is independent from the context sensing technology in the sense that it provides an abstract context representation through the use of ontologies.
The results for line detection by the perception layer in different light levels and at different speeds are given in Fig. 9.
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Here, the chosen ANN consist of three perception layers: the output layer with one neuron, the input layer with five neurons, and the hidden layer with three neurons.
On one hand, we present the architecture of a smart railway, which is divided into four layers, i.e., perception and action layer, transfer layer, data engine layer, and application layer, and discuss the advanced and mostly concerned technologies in each layer.
By studying different experiences using experimental design of ideas, 'mind genomics' constructs an empirical, inductive science of perception and experience, layer by layer.
Recently, the popularity of Neuron networks (NN) and multi layer perception (MLP) has increased in ATR systems.
Finally a Multiple Layer Perception (MLP) with one hidden layer and linear TanhAxon transfer function was selected for downscaling in this study.
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