Now showing items 1-5 of 5
Optimum structure of feed forward neural networks by SOM clustering of neuron activations
(Modelling and Simulation Society of Australia and New Zealand Inc., 2007-12)
Neural Networks have the capability to approximate nonlinear functions to a high degree of accuracy owing to its nonlinear processing in the hidden layer neurons. However, the optimum network structure that is required ...
On-line detection of mastitis in dairy herds using artificial neural networks
(Modelling and Simulation Society of Australia and New Zealand, 2005-12)
Mastitis, one of the most significant diseases in dairy herds, is a highly complex sequence of events with various biological causes and associated physiological and behavioral effects that occur as bacterial infection ...
Validating a gene expression signature of invasive ductal carcinoma of the breast and detecting key genes using neural networks
(Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, 2009-07)
Breast cancer is one of the leading causes of death in women in the world. It is a complex disease with challenges to accurate diagnosis due to cancer subtypes that are difficult to distinguish. The most common subtype is ...
Microarray gene expression: a study of between-platform association of Affymetrix and cDNA arrays
Microarrays technology has been expanding remarkably since its launch about 15 years ago. With its advancement along with the increase of popularity, the technology affords the luxury that gene expressions can be measured ...
Towards a generalized colour image segmentation for kiwifruit detection
Developing robust computer vision algorithms to detect fruit in trees is challenging due to less controllable conditions, including variation in illumination within an image as well as between image sets. There are two ...