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Biological vision systems involve complex neural layers that can represent and process information. Moreover, they are typically far more efficient than human-made machine vision systems. To obtain a non-task-dependent image representation schema, it may be valuable to simulate the early phase of the biological neural vision mechanism. We designed a neural model to simulate the non-classical receptive...
In the view of the unfitness to the actual maneuver of targets that a fixed maneuvering frequency used in the current statistical model. Firstly, predicted measurements of special maneuvering frequency are clustered with the aid of maximum entropy fuzzy clustering. Then, the estimated means and covariance of the state are mixed by utilizing the fuzzy membership degree of the predicted measurements...
Based on the hydrology and sediment data, an artificial neural network model which has been applied maturely and widely in all kinds of artificial neural network is established to study the relationship of channel cubage under 0m isobath in North Branch with the flow and sediment discharge at Datong gauging station, and the flow split ratio of the North Branch. The structure of the network model is...
A well-validated wave model with No. 9912 typhoon is established using Delft-SWAN mode to study the effect of wind wave caused by typhoon on the navigation channel of Changjiang River Estuary. The wave factors including the wave height, wave length, wave period and wave steepness under one typhoon wind scenario---with velocity of 20m/s and direction of NNE35°, obtained from the statistical data, are...
Using pulse-echo method, the defects of inspected specimens, such as cracks, inclusions, porosities, can be tested with ultrasonic phased array technique. Phased array transducer can realize the conversion between sound wave and electric signal, its characteristic of acoustic field is the most important factor whether the echo information of the inspected area in a specimen can be obtained and utilized...
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