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Neuro-fuzzy architectures based on complex fuzzy logicSara, Aghakhani 06 1900 (has links)
Complex fuzzy logic is a new type of multi-valued logic, in which truth values are drawn from the unit disc of the complex plane; it is thus a generalization of the familiar infinite-valued fuzzy logic. At the present time, all published research on complex fuzzy logic is theoretical in nature, with no practical applications demonstrated. The utility of complex fuzzy logic is thus still very debatable. In this thesis, the performance of ANCFIS is evaluated. ANCFIS is the first machine learning architecture to fully implement the ideas of complex fuzzy logic, and was designed to solve the important machine-learning problem of time-series forecasting. We then explore extensions to the ANCFIS architecture. The basic ANCFIS system uses batch (offline) learning, and was restricted to univariate time series prediction. We have developed both an online version of the univariate ANCFIS system, and a multivariate extension to the batch ANCFIS system. / Software Engineering and Intelligent Systems
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An improved algorithm for a self-organising controllerd its experimental analysisYamazaki, Tsukasa January 1992 (has links)
No description available.
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Neuro-fuzzy controllers for unstable systemsNukala, Ramesh Babu January 1997 (has links)
No description available.
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Machine learning using fuzzy logic with applications in medicineNorris, D. E. January 1986 (has links)
No description available.
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Machine learning using fuzzy logic with applications to medicineNorris, D. E. January 1986 (has links)
No description available.
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Handling uncertainty in knowledge based systems using the theory of mass assignmentsCoyne, Mark R. January 1993 (has links)
No description available.
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Self organising knowledge based control of a binary distillation columnCartwright, Peter January 1995 (has links)
No description available.
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On reasoning with uncertainty and belief changeShi, Shengli January 1995 (has links)
No description available.
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A comparative study by simulation and experimentation of control techniques for autonomous underwater flight vehiclesLea, Roy Kim January 1998 (has links)
No description available.
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40 |
A new genetic algorithm for the evolution of fuzzy setsLeitch, Donald Dewar January 1995 (has links)
No description available.
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