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Titlebook: Intelligent Problem Solving. Methodologies and Approaches; 13th International C Rasiah Logananthara,Günther Palm,Moonis Ali Conference proc

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The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squealconditions. These are then related to the 3. order differential equations governing a candidate mathematical model of brake squeal using a second neurofuzzy model. This determines whether similar or sensible parametric changes in the model are required to mirror the dynamic effects of changes in exp
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Towards an Estimation Aid for Nuclear Power Plant Refuelling Operations a safe condition for continued operation. This paper describes a methodology for identifying key points in the refuelling process thereby providing decision support for post-refuelling analysis. A feature identification technique is described which provides reliable input to Artificial Neural Netwo
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Drilling Performance Prediction Using General Regression Neural Networksng data bank. The quantitative reliability of such models depend on numerous process variables and quantitative accuracy of the data bank for a given work material. In this paper architecture of General Regression Neural Network is proposed, that use process variables such as tool geometry and opera
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Mapping Object-Oriented Systems to Distributed Systems Using Data Mining Techniquesibution. We use reverse engineering techniques for the architectural and design recovery. We use object-oriented metrics techniques for the assessment of relationships and interactions between object-oriented constructs such as classes, objects, and methods. Next, we use data mining techniques to di
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Scaling the Data Mining Step in Knowledge Discovery Using Oceanographic Dataves unsupervised learning (clustering) consumes the bulk of the computation. We have developed a technique that allows us to partition the data, distribute it to different processors for training, and train a single system to join the results of the independent categorizers. We report preliminary re
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Information Management and Process Improvement Using Data Mining Techniquesn management and process improvement within a manufacturing scenario. The case study involved, relates to an engineering component manufacturing company with a consortium of several plant outlets in various geographical locations world-wide. Currently, data, information and knowledge management, tra
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Combinatorial Optimization A Comparative Analysis of Search Methods as Applied to Shearographic Frinjected to stress. The output derived from shearographic apparatus is a fringe pattern which is used to confirm the integrity of, or characterise defects within, the component under test. A step towards the automation of the process is to convert the fringe lines into a mathematical representation th
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