In this research, the effect of different parameters of coal composition (coal chemical properties) were studied, to estimate the coal HGI values index. To estimate the HGI values artificial neural networks (ANNs) and linear multivariable regression methods were used for 400 data. In this work, ten input parameters, such as moisture, volatile matter (dry), fixed carbon (dry), ash (dry), total s...

This paper investigates a new model that takes advantage of the cooperative self-organization of Ant Algorithms to evolve a naturally inspired pattern recognition (and also clustering) method. The approach considers each data item as an ant that changes the environment as it moves through it. The algorithm is successfully applied to well-known classification problems and yields better results t...

The present investigation deals with the study and development of a surface roughness prediction model for the machining of unidirectional glass fiber reinforced plastics (UDGFRP) composite using Artificial Neural Network (ANN). The feed forward back propagation is used. Taguchi method (Orthogonal L16 array) is employed to carry out the experimental work. The process parameters selected for stu...

How abstract knowledge is organised is a key question in cognitive science, and has clear repercussions for the design of artifical lexical resources, but is poorly understood. We present fMRI results for an experiment where participants imagined situations associated with abstract words, when cued with a visual word stimulus. We use a multivariate-pattern analysis procedure to demonstrate that...

Using poker as a testbed for Artifical agents is not a new idea. The inherent randomness in a game of poker makes developing an agent for poker more difficult than traditional AI games such as chess or checkers. In this project an agent will be developed using evolutionary techniques and tested against other agents.