883 resultados para intelligent tutoring systems, student modelling, individualised feedback, rapid application development, Microsoft Access
Resumo:
Federal Highway Administration, Office of Traffic Management and Intelligent Systems Applications, Washington, D.C.
Resumo:
Transportation Department, Joint Program Office for Intelligent Transportation Systems, Washington, D.C.
Resumo:
"April 2008."
Resumo:
"September 1996."
Resumo:
"Report no. FHWA-JPO-97-0027."
Resumo:
"HPIP/I-06(3.5)EW"--Back cover.
Resumo:
Mode of access: Internet.
Resumo:
Mode of access: Internet.
Resumo:
"Sponsoring/monitoring agency report number: DOT-FHWA-JPO-97-008"--Report documentation page.
Resumo:
Transportation Department, Joint Program Office for Intelligent Transportation Systems, Washington, D.C.
Resumo:
These are the full proceedings of the conference.
Resumo:
We introduce a novel inversion-based neuro-controller for solving control problems involving uncertain nonlinear systems that could also compensate for multi-valued systems. The approach uses recent developments in neural networks, especially in the context of modelling statistical distributions, which are applied to forward and inverse plant models. Provided that certain conditions are met, an estimate of the intrinsic uncertainty for the outputs of neural networks can be obtained using the statistical properties of networks. More generally, multicomponent distributions can be modelled by the mixture density network. In this work a novel robust inverse control approach is obtained based on importance sampling from these distributions. This importance sampling provides a structured and principled approach to constrain the complexity of the search space for the ideal control law. The performance of the new algorithm is illustrated through simulations with example systems.
Resumo:
The paper develops a set of ideas and techniques supporting analogical reasoning throughout the life-cycle of terrorist acts. Implementation of these ideas and techniques can enhance the intellectual level of computer-based systems for a wide range of personnel dealing with various aspects of the problem of terrorism and its effects. The method combines techniques of structure-sensitive distributed representations in the framework of Associative-Projective Neural Networks, and knowledge obtained through the progress in analogical reasoning, in particular the Structure Mapping Theory. The impact of these analogical reasoning tools on the efforts to minimize the effects of terrorist acts on civilian population is expected by facilitating knowledge acquisition and formation of terrorism-related knowledge bases, as well as supporting the processes of analysis, decision making, and reasoning with those knowledge bases for users at various levels of expertise before, during, and after terrorist acts.
Resumo:
A complex Ginzburg-Landau equation subjected to local and global time-delay feedback terms is considered. In particular, multiple oscillatory solutions and their properties are studied. We present novel results regarding the disappearance of limit cycle solutions, derive analytical criteria for frequency degeneration, amplitude degeneration, frequency extrema. Furthermore, we discuss the influence of the phase shift parameter and show analytically that the stabilization of the steady state and the decay of all oscillations (amplitude death) cannot happen for global feedback only. Finally, we explain the onset of traveling wave patterns close to the regime of amplitude death.