Essays about: "neural network modelling"

Showing result 16 - 20 of 102 essays containing the words neural network modelling.

  1. 16. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Röhss; [2022]
    Keywords : ;

    Abstract : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. READ MORE

  3. 17. Virtual Sensing of Hauler Engine Sensors

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Muhammad Fahad Hassan Mobshar; Sebastian Hagblom; [2022]
    Keywords : Sensor Reconstruction; Embedded Machine Learning; Inductive Transfer Learning; Deviation Detection;

    Abstract : The automotive industry is becoming more dependent on sustainable and efficient systems within vehicles. With the diverse combination of conditions affecting vehicle performance, such as environmental conditions and drivers' behaviour, the interest in monitoring machine health increases. READ MORE

  4. 18. Artificial Neural Network in Exhaust Temperature Modelling : Viability of ANN Usage in Gasoline Engine Modelling

    University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

    Author : Musa Nibras; Roos Linus; [2022]
    Keywords : Artificial Neural Network; Data-driven Modelling; Engine Modelling; Transient behaviour; Static behaviour; Feed Forward Network; Layer Recurrent Network; NARX; Long Short Term Memory; Gated Recurrent Network; Data processing;

    Abstract : Developing and improving upon a good empirical model for an engine can be time-consuming and costly. The goal of this thesis has been to evaluate data-driven modelling, specifically neural networks, to see how well it can handle training for some static models like the mass flow of air into the cylinder, mean effective pressure and pump mean effective pressure but also for transient modelling, specifically the exhaust gas temperature. READ MORE

  5. 19. Estimating the risk of insurance fraud based on tonal analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Henrik Steneld; [2022]
    Keywords : Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Abstract : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. READ MORE

  6. 20. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

    University essay from Lunds universitet/Matematisk statistik

    Author : Mika Persson; [2022]
    Keywords : Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

    Abstract : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. READ MORE