Artifical Blood

Artifical Intelligence, Expert Systems, and Archival Automation

KANTS: Artifical Ant System for Classification

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...

Bioethics of Artifical Retinal Implant Surgery

Mrs. Adelman, a woman in her late fifties suffered from a visual disorder called age-related macular degeneration, also commonly known as AMD. AMD occurs when the macula, a small spot near the center of the retina and the part of the eye needed for sharp vision, deteriorates overtime due to age [1]. Once Mrs. Adelman was diagnosed with the disorder, her and her husband, immediately began to do ...

Design and Control of the Artifical Pancreas

An artificial pancreas (AP) to treat type 1 diabetes mellitus is currently being designed using the latest control technology. There are many challenges to this undertaking, many due to the fact that this is a biological system, making this device high risk while presenting challenges for sensing and delivery. A controller for this system, zone model predictive control, has been designed to con...

Initialization of multilayer forecasting artifical neural networks

In this paper, a new method was developed for initialising artificial neural networks predicting dynamics of time series. Initial weighting coefficients were determined for neurons analogously to the case of a linear prediction filter. Moreover, to improve the accuracy of the initialization method for a multilayer neural network, some variants of decomposition of the transformation matrix corre...