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Articles 181 - 183 of 183
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Classification Algorithms On The Cell Processor, Mateusz Wyganowski
Classification Algorithms On The Cell Processor, Mateusz Wyganowski
Theses
The rapid advancement in the capacity and reliability of data storage technology has allowed for the retention of virtually limitless quantity and detail of digital information. Massive information databases are becoming more and more widespread among governmental, educational, scientific, and commercial organizations. By segregating this data into carefully defined input (e.g.: images) and output (e.g.: classification labels) sets, a classification algorithm can be used develop an internal expert model of the data by employing a specialized training algorithm. A properly trained classifier is capable of predicting the output for future input data from the same input domain that it was …
Real Time Maze Traversal, Robert Spina
Real Time Maze Traversal, Robert Spina
Theses
This thesis investigates the application of artificial intelligence to real time control in combination with image analysis techniques. The system consists of a "mouse" and a "cheese" in a two dimensional maze which are viewed by a video camera connected to a frame grabber board in a personal computer (PC). The maze is designed to be alterable during the mouse's navigation towards the "cheese" or target. The pc runs the frame grabber software which analyzes the maze to find the cheese, mouse and movement options during traversal. Parameters about the mouse's position, the maze constraints in the vicinity of the …
Intelligent Knowledge Acquisition System, Bong-Soo Youn
Intelligent Knowledge Acquisition System, Bong-Soo Youn
Theses
IKAS (Intelligent Knowledge Acquisition System) is an expert system building shell with a machine-assisted concept checker for easy integrated rule-entry. Unlike most expert system shells currently available, IKAS not only performs rule syntax checking, but also maintains semantic integration of the knowledge base by using a Concept Base. The Concept Base is incrementally grown during the cycle of expert system application development and safeguards the whole domain from conceptually conflicting rules by finding possible inconsistencies or duplications of concepts and giving recommendations for possible solutions. Also automatic generalized concept forming using the Inductive Extension Generalization method gives IKAS a capability …