Essays about: "Artificiella Neurala Nätverk"

Showing result 1 - 5 of 109 essays containing the words Artificiella Neurala Nätverk.

  1. 1. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation

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

    Author : Malte Blomqvist; Morris Hansing; [2023]
    Keywords : ;

    Abstract : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. READ MORE

  3. 2. Adversarial robustness of STDP-trained spiking neural networks

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

    Author : Karl Lindblad; Axel Nilsson; [2023]
    Keywords : ;

    Abstract : Adversarial attacks on machine learning models are designed to elicit the wrong behavior from the model. One such attack on image classifiers are maliciously crafted inputs that, to the human eye, look untampered with but have been carefully altered to cause misclassification. READ MORE

  4. 3. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

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

    Author : Love Marcus; [2023]
    Keywords : User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

    Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE

  5. 4. Increasing explainability of neural network based retail credit risk models

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

    Author : Anton Evilevitch; [2023]
    Keywords : Explainability; Artificial Neural Network; Mortgage Credit Risk Modeling; Förklarbarhet; Artificiella Neurala Nätverk; Modellering av Hypotekskreditrisk;

    Abstract : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. READ MORE

  6. 5. Regression with Bayesian Confidence Propagating Neural Networks

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

    Author : Raghav Rajendran Bongole; [2023]
    Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE