Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem

Article Abstract:

Artificial neural networks perform well for two-group classification problems. Current research has yet to determine a method for identifying relevant input variables in the neural network model for real world classification problems. A method called the Neural Network Simultaneous Optimization Algorithm (NNSOA) is discussed.

Management dynamics, Management, Neural networks, Algorithms, Company business management, Algorithm, Neural network

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A tandem clustering process for multimodal datasets

Article Abstract:

Clustering multimodal datasets can be problematic when a conventional algorithm such as k-means is applied due to its implicit assumption of Gaussian distribution of the dataset. A tandem clustering process for multimodal data sets is discussed.

Analysis, Multivariate analysis, Clustering (Computers), Server clustering

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A methodology for developing Bayesian networks: an application to information technology implementation

Article Abstract:

A artificial intelligence-based methodology for building an information technology implementation Bayesian networks, which are used to support reasoning under uncertainty, is presented. The benefits of using Bayesian networks are also discussed.

United States, General services, Computer networks, Company systems management, Information management, Decision support systems, Information networks, Decision support software

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