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Neural network model using back-propagation algorithm with momentum term for credit risk evaluation system
(The SCIence and Engineering Institute (SCIEI), 2016)
This paper present the results of an experiment made with the aid of KangarooBPNN, a graphical user interface software in order to find the Mean Squared Error (MSE) of a supervised neural network model. In the previous ...
Hierarchical clustering and association rule discovery process for efficient decision support system
(Springer-Verlag Berlin Heidelberg, 2011)
This paper proposed a model based on hierarchical Clustering and Association Rule, which is intended for decision support system. The proposed system is intended to address the shortcomings of other data mining tools on ...
Improving self-organizing map with Nguyen-Widrow initialization algorithm
(Institute of Advanced Engineering and Science (IAES), 2019-07)
The quality of cluster result and the learning speed of Self-organizing map (SOM) are dependent on the initialization of weights since the initial values for weight vectors affect the performance of SOM training when applied ...
An improved OTP grid authentication scheme email-based using middle-square for disaster management system
(Science and Engineering Research Support Society, 2017-11-06)
Disaster is an attempt to control or access the system without legal/valid permission and proper authorization protocol from legitimate entity. Nowadays, most organizations managed to save records in an online database ...
Prediction-based model for student dropouts using modified mutated firefly algorithm
(World Academy of Research in Science and Engineering, 2019)
Academic database is considered as the heart and soul of every higher education institutions. This database contains a vast amount of useful information that is useful for analysis. Algorithms for machine learning play a ...
A modified Otsu-based image segmentation algorithm (OBISA)
(Newswood Limited, 2019-03-13)
Image thresholding is usually a preprocessing step in a number of image processing algorithms. The segmented images are input for image analyses, computer vision, and visualizations and object representation. Otsu thresholding ...