A new simulation method for some typical boundary control problems, combining symbolic algebra and numerical method, is presented with typical examples. The transfer function is obtained in the intermediate steps of t...
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A new simulation method for some typical boundary control problems, combining symbolic algebra and numerical method, is presented with typical examples. The transfer function is obtained in the intermediate steps of the simulation, which makes it possible and easier to apply more advanced boundary controllers in the future.
The accuracy of concrete strength inspection has a great influence on the safety evaluation of the building. In order to increase the accuracy, Fuzzy Neural Network (FNN) was built up to evaluate concrete stmngth: It ...
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ISBN:
(纸本)0780382730
The accuracy of concrete strength inspection has a great influence on the safety evaluation of the building. In order to increase the accuracy, Fuzzy Neural Network (FNN) was built up to evaluate concrete stmngth: It takes full advantage of the characteristics of the common concrete testing methods: drill and rebound, and the abilities of FNN including automatic learning, generation and fuzzy logic inference. The experiment shows that the max relative error of the predicted results is 1.12%, which is satisfied with the requirements of the engineering. The method effieieatly maps the complex non-linear relationship between the drill values and the rebound values, and provides a efficient way for the concrete strength inspection and evaluation.
This paper presents a recurrent neural network-based approach for modal parameters identification of structure-unknown systems. The proposed approach involves two steps. The first step is to build a recurrent neural n...
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ISBN:
(纸本)0780384032
This paper presents a recurrent neural network-based approach for modal parameters identification of structure-unknown systems. The proposed approach involves two steps. The first step is to build a recurrent neural network to map the complex nonlinear relation between the excitations and responses of the structure-unknown system by off-line learning. The second step is to propose a procedure to determine the modal parameters of the system from the trained neural networks. The dynamic characteristics of the structure are directly evaluated from the weighting matrices of the trained recurrent neural network. Furthermore, an illustrative example demonstrates the feasibility of using the proposed method to identify modal parameters of structure-unknown systems. The method proposed can be used to research on fault diagnosis of engineer structure.
In a mobile ad hoc network (MANET), packet broadcast is common and frequently used to disseminate information. Broadcast consume large amount of bandwidth resource, which is scarce in MANET environment. The problem is...
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One of the major issues that affect the performance of mobile ad hoc networks (MANET) is routing. Recently, position-based routing for MANET is found to be a very promising routing strategy for inter-vehicular communi...
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This paper reflects one aspect of an overall research initiative to better understand and articulate the "cause and effect" relationship between design causes and operational effects. Here the specific focus...
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systems and software engineering are converging disciplines with increasing evolution of modern complex systems towards increased information and knowledge content. Further, with the capital investment associated with...
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Pinhole single-photon emission computed tomography (SPECT) with high spatial-resolution is suitable for small-animal imaging, but has limitations associated with spatial-resolution inhomogeneity or axial blurring. We ...
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