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The purpose of this project is to implement license plate recognition application using Artificial Neural Networks.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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buffet pressures, buffet data, dag automaton, generalised trajectory, random local optima, qualitative control strategies, keyword spotting system, true fitness value, differential gradient method, analysis techniques algorithm, facilitation agent, information extraction agent, intelligent predictor, deadlock detection process, facial region detection, inverter error, qualitative trees, semantic headers, color vision properties, online discussion system, monitoring neural network, unchecked positions, virtual human agent, damage survivability, knowledge processing system
Key Phrases - Capitalized Phrases (CAPs):
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Springer-Verlag Berlin Heidelberg, New York, Visual Basic, Visual Rule Studio, International Symposium, Hong Kong, Route Planning Wizard, Morgan Kaufmann, Mahidol University, Prentice Hall, World Wide Web, Computer Engineering, Data Engineering, Journal of Computing, Oxford University Press, Peano Algebra, European Conference, Expert Element, John Wiley, Order Many-Sorted Language, Std Dev, United States, Cambridge University Press, Control Centres, Effective Retrieval of Information
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