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To make full use of the data information and improve the classification performance, a new evidential neural network classifier is proposed and a novel implementation of multiple classifier systems based on the new evidential neural network classifier is presented in this paper. The ambiguous data contained in the training data is considered as a new class — compound class and the training data is...
Driver emergency braking was distinguished and predicted exactly difficult. In order to gain the test data of driver emergency braking action, 7 professional drivers whose age were 23 to 45 years old were chose and 3 scenes of driver braking behavior including leading vehicle braking deceleration, a vehicle or pedestrian suddenly forced into the road way were designed and simulated by means of road...
This study creates an abnormal traffic status alarming method based on the neural architecture. The paper introduces the three layer BP (Back Propagation) neural network structure including the input layer, the hidden layer and the output layer. Each layer of the network will receive the input information from the upper layer of the network after which the crunodes will change the information by means...
The driver emergency braking behavior to be distinguished and predicted exactly was difficult. In order to gain the testing data of driver emergency braking action, 7 professional drivers were selected and 3 scenes of driver braking behavior were designed and simulated by means of road test. And the testing data were captured by the data acquisition system with sensors. Utilizing relative fuzzy membership...
The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is...
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