Now showing items 1-4 of 4
Software project on fracture dynamics of wood and artificial neural network model for prediction of fracture toughness
(Lincoln University, 2000)
This study focussed on fracture and dynamics in wood using high speed imaging equipment, general and various types of imaging software other than the general equipment such as testing machine and related software. The C++ ...
Application of artificial neural networks in early detection of Mastitis from improved data collected on-line by robotic milking stations
(Lincoln University, 2008)
Two types of artificial neural networks, Multilayer Perceptron (MLP) and Self-organizing Feature Map (SOM), were employed to detect mastitis for robotic milking stations using the preprocessed data relating to the ...
The potential for using artificial neural networks to model radiata pine branch diameter distribution patterns
(Lincoln University, 2001)
Understanding diameter distribution patterns of branches within whorls in radiata pine (pinus radiata D. Don) is crucial/important to the eventual development of automation designed to detect defects (knots) on logs, which ...
Investigation of a stochastic solute transport model and development of inverse methods in hydrogeology
(Lincoln University, 2003)
This thesis encompasses two aspects of stochastic solute transport modelling in porous media. One part is dedicated to investigating a stochastic transport model. In the second part, two types of inverse methods are developed ...