Heuristic and optimization approaches to extending the Kohonen self organizing algorithm

Article Abstract:

An overview of research into the use of heuristic and optimization methods to extend the Kohonen self-organizing map (KSOM) neural network is given. Currently, research efforts are directed at enhancing KSOM's complexity, accuracy, robustness, efficiency and adaptibility. Specifically, they attempt to improve the KSOM's learning mode, network architecture, neighborhood function, adaptation rule, weight initialization, convergence criteria and rejection criteria.

Research, Computer networks, Neural networks, Self-organizing systems, Machine learning

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Binary interactions and subset choice

Article Abstract:

The binary-interaction model of customer preference interdependencies between items was examined within the framework of preference theory and subset choice as an alternative model for solving decision problems. Specifically, the ordinal and cardinal formulations of the model were compared to general and linear models, respectively. The ordinal version is based on preferences between subsets while the cardinal version is based on expected utility outcomes.

Models, Decision theory, Utility theory, Utility functions

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