Search for dissertations about: "Fuzzy parameters"

Showing result 16 - 19 of 19 swedish dissertations containing the words Fuzzy parameters.

  2. 16. Reinforcement Learning and Distributed Local Model Synthesis

    Author : Tomas Landelius; Hans Knutsson; Charles W. Anderson; Linköpings universitet; []
    Keywords : TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : Reinforcement learning is a general and powerful way to formulate complex learning problems and acquire good system behaviour. The goal of a reinforcement learning system is to maximize a long term sum of instantaneous rewards provided by a teacher. READ MORE

  4. 17. Image and Data Analysis for Biomedical Quantitative Microscopy

    Author : Damian J. Matuszewski; Ida-Maria Sintorn; Carolina Wählby; Peter Horvath; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; high-content screening; drug selection; DNA content histogram; manual image annotation; deep learning; convolutional neural networks; hardware integration; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-based research and diagnosis. New technologies and computational tools are necessary for handling the ever-growing amounts of data produced in life science. READ MORE

  5. 18. Computer Vision Algorithms for Intelligent Transportation Systems Applications

    Author : Mohammad Saleh Javadi; Mattias Dahl; Mats Pettersson; Mikael Nilsson; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; computer vision; intelligent transportation systems ITS ; speed measurement; vehicle classification;

    Abstract : In recent years, Intelligent Transportation Systems (ITS) have emerged asan efficient way of enhancing traffic flow, safety and management. Thesegoals are realized by combining various technologies and analyzing the acquireddata from vehicles and roadways. READ MORE

  6. 19. Two-Level Multi-Objective Genetic Algorithm for Risk-Based Life Cycle Cost Analysis

    Author : Yamur K. Al-Douri; Uday Kumar; Jan Lundberg; Hussan Hamodi; Ahmed Al-Dubai; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Artificial intelligence AI ; Life cycle cost LCC ; Machine learning ML ; Multi-objective genetic algorithm MOGA ; Risk-based life cycle cost LCC ; Tunnel fans; Two-level system; Operation and Maintenance Engineering; Drift och underhållsteknik;

    Abstract : Artificial intelligence (AI) is one of the fields in science and engineering and encompasses a wide variety of subfields, ranging from general areas (learning and perception) to specific topics, such as mathematical theorems. AI and, specifically, multi-objective genetic algorithms (MOGAs) for risk-based life cycle cost (LCC) analysis should be performed to estimate the optimal replacement time of tunnel fan systems, with a view towards reducing the ownership cost and the risk cost and increasing company profitability from an economic point of view. READ MORE