Essays about: "Multi-layer Perceptron MLP"

Showing result 1 - 5 of 24 essays containing the words Multi-layer Perceptron MLP.

1. 1. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

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

   Author : Kevin Huang; [2023]
   Keywords : Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

   Abstract : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. READ MORE

3. 2. Cell Tower Localization using crowdsourced measurments

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

   Author : Carlos Escandón Álvarez; [2023]
   Keywords : Cell Tower Geolocation; Crowdsourced Measurements; Positioning; Machine Learning; Neural Networks;

   Abstract : This thesis explores the application of a neural network approach to cell tower localization using crowdsourced measurements. The deployment of cell tower infrastructure has been increasing exponentially in recent times as it is a crucial element of mobile communications. READ MORE

4. 3. Remembering how to walk - Using Active Dendrite Networks to Drive Physical Animations

   University essay from Umeå universitet/Institutionen för fysik

   Author : Klas Henriksson; [2023]
   Keywords : reinforcement learning; deep learning; physical animation; deep reinforcement learning; multi-task learning; multi-task reinforcement learning; machine learning; neural networks;

   Abstract : Creating embodied agents capable of performing a wide range of tasks in different types of environments has been a longstanding challenge in deep reinforcement learning. A novel network architecture introduced in 2021 called the Active Dendrite Network [A. Iyer et al. READ MORE

5. 4. Predicting Reactor Instability Using Neural Networks

   University essay from KTH/Fysik

   Author : Hilborn Hubert; [2022]
   Keywords : Boiling Water Reactors; Density Wave Instability; Multi-Layer Perceptron; Support Vector Regression; Kernel-Ridge Regression;

   Abstract : The study of the instabilities in boiling water reactors is of significant importance to the safety withwhich they can be operated, as they can cause damage to the reactor posing risks to both equipmentand personnel. The instabilities that concern this paper are progressive growths in the oscillatingpower of boiling-water reactors. READ MORE

6. 5. PV self-consumption: Regression models and data visualization

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Martos Tóth; [2022]
   Keywords : Self-Consumption; photovoltaics; battery; machine learning; solar energy; random forest; k-nearest neighbor; multi-layer perceptron; lasso regression; ridge regression; linear regression; Egenanvändning; photovoltaics; batteri; maskininlärning; solenergi; random forest; k-nearest neighbors; multi-layer perceptron; lasso regression; ridge regression; linjär regression;

   Abstract : In Sweden the installed capacity of the residential PV systems is increasing every year. The lack of feed-in-tariff-scheme makes the techno-economic optimization of the PV systems mainly based on the self-consumption. The calculation of this parameter involves hourly building loads and hourly PV generation. READ MORE