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The structure of our addressed BP neural network is shown in Figure 4. Figure 4 Structure of BP neural network.
Thus their proposed visual based approaches are not applicable to our addressed problem because users may search articles in any domain.
Using structured polynomially Parameter-Dependent Lyapunov Functions (PDLFs), in which some conservatism is admitted, we propose design methods for our addressed problems via parametrically affine Linear Matrix Inequality (LMI) conditions that are easily solved via semi-definite programming.
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We also present an adaptive routing algorithm for location-aware applications, using our addressing scheme.
They present an adaptive routing algorithm for location-aware applications, using our addressing scheme.
Working with our residents since 1987, we have built upon our strengths and addressed our weaknesses.
Our study addressed the following questions.
A significant portion of our efforts addressed these issues.
Specifically, our study addressed the following research questions: 1.
Thus, our research addressed this gap in the literature.
Our study addressed functional connectivity.
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