Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 91 for “"Computational intelligence."”.
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Meta-learning computational intelligence architectures
"In computational intelligence, the term 'memetic algorithm' has come to be associated with the algorithmic pairing of a global search method with a local search method. In a sociological context, a 'meme' has been loosely defined as a unit of cultural information, the social analog of genes for …
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Prediction of Enrollment using Computational Intelligence
… prediction of university enrollment using three computational intelligence (CI) techniques. The enrollment prediction has been considered as a form of time series prediction using CI techniques that include an artificial neural network (ANN), a neurofuzzy inference system (ANFIS) and an …
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Computational intelligence for measuring macro-knowledge competitiveness
… research is to investigate the utilisation of Computational Intelligence methods for constructing Synthetic Composite Indicators (SCI). In particular for delivering a Unified Macro-Knowledge Competitiveness Indicator (UKCI) to enable consistent and transparent assessments and forecasting of the …
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Developing computational intelligence for helicopter flights control.
This aim of this research is to develop computational intelligence for helicopter flights control, a system that learns to fly a helicopter in the way a human pilot would. The work is being carried out because of increased pilots’ workloads and the reward in terms of cost and safety, in a dangerous …
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Computational intelligence methods in wireless sensor networks
… to address these challenges. The potential of computational intelligence ( CI) based approaches for addressing WSN challenges is investigated in this study. Contributions of this dissertation are in the following three areas: critical literature analysis, new architectures and approaches, and …
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Computational Intelligence Techniques for OES Data Analysis
… in a production process. This thesis focuses on computational intelligence techniques for OES data analysis in semiconductor manufacturing presenting both theoretical results and industrial application studies. To begin with, a spectrum alignment algorithm is developed to align OES measurements …
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Computational intelligence for fault diagnosis in gearbox systems
Employing an efficient condition monitoring system in industrial applications is an important factor in improving the quality of production and increasing the operational life of machines by revealing machine faults at the earlier stage. Damage in gearbox system is one of the most catastrophic …
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Computational Intelligence and Complexity Measures for Chaotic Information Processing
… dissertation investigates the application of computational intelligence methods in the analysis of nonlinear chaotic systems in the framework of many known and newly designed complex systems. Parallel comparisons are made between these methods. This provides insight into the difficult …
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Identifying drug-target and drug-disease associations using computational intelligence
… with high-throughput results are necessary. Computational drug discovery is a shortcut that can reduce the difficulties of traditional methods because of its flexible nature. Drug repositioning, which aims to find new applications for existing drugs, is one of the promising approaches in …
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Enhancing player experience in computer games: A computational Intelligence approach.
… are in turn controlled by the game artificial intelligence. Research in game AI has traditionally been focused on improving its competency. However, a competent game AI does not directly correlate to the satisfaction and entertainment value experienced by the human player. This thesis focuses …
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Investigation of High Frequency Oscillations in Epilepsy Using Computational Intelligence
… of the problem. This dissertation aims at the computational analysis of HFOs with specific concerns over its practical application for the localization and prediction of SOZ. We proposed novel algorithms and tools for the auto-detection of HFO in prolonged clinical data based on advanced signal …
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Automating Game-design and Game-agent Balancing through Computational Intelligence
Game design has been a staple of human ingenuity and innovation for as long as games have been around. From sports, such as football, to applying game mechanics to the real world, such as reward schemes in shops, games have impacted the world in surprising ways. The process of developing games can, …
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Computational Intelligence Techniques for Control and Optimization of Wastewater Treatment Plants
… a combination of online measurement systems, computational intelligence and machine learning methods as well as dynamic simulation models. Introducing the state-of-the-art in the fields of WWTP operation, process monitoring and control, three novel computational intelligence enabled …
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Transient stability assessment of hybrid distributed generation using computational intelligence approaches
… Of Hybrid Distributed Generation Using Computational Intelligence Approaches These algorithms must be able to perform advanced monitoring, decision making, forecasting, control and optimization. Computational Intelligence (CI) based algorithm such as neural networks coupled with Wide …
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Computational intelligence for community detection in complex networks and bio-medical applications
Contains fulltext : 129790.pdf (Publisher’s version ) (Open Access)
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Computational Intelligence for Computer-Aided Design Machine Learning Techniques for Microcontrollers Performance Screenings
L'abstract è presente nell'allegato / the abstract is in the attachment
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Application of computational intelligence to explore and analyze system architecture and design alternatives
… and analyze system design alternatives employing computational intelligence. The first research contribution is a hybrid fuzzy-EA model that facilitates the exploration and analysis of possible SoS configurations. The second contribution is a hybrid neural network-EA in which the EA explores, …
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Non intrusive load monitoring & identification for energy management system using computational intelligence approach
Electrical energy is the life line to every nation’s or continent development and economic progress. Referable to the recent growth in the demand for electricity and shortage in production, it is indispensable to develop strategies for effective energy management and system delivery. Load …
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