Sökning: "Backward Algorithm"
Visar resultat 6 - 10 av 32 uppsatser innehållade orden Backward Algorithm.
6. Asymmetric Bregman Forward-Backward Splitting with Projection Correction
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : This thesis examines first-order Bregman algorithms in a primal and a primal-dual setting. The Bregman gradient descent algorithm is introduced from a majorization-minimization perspective and as a generalization of the gradient descent algorithm. LÄS MER
7. Expanding multilayer perceptrons with a brain inspired activation algorithm : Experimental comparison of the performance of an activation enhanced multi layer perceptron
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Machine learning is a field that is inspired by how humans and, by extension, the brain learns.The brain consists of a biological neural network that has neurons that are either active or inactive. Modern-day artificial intelligence is loosely based on how biological neural networks function. LÄS MER
8. Fluid Surface Velocity Measurement Using Millimeter-Wave Radar Sensor
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Contactless fluid surface velocity measurements with radar technology presents novel ways of determining fluid flow. The Acconeer A121 sensor is used, which is a pulsed coherent 60 GHz millimeter-wave radar, with high accuracy and low energy consumption. LÄS MER
9. The Effect of Online Advertising in a Digital World : Predicting Website Visits with Dynamic Regression
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : The goal of the thesis is to accurately predict future values of a company’s website visits and to estimate the uncertainty of those predictions. To achieve this, a dynamic regression model with an ARIMA error term is considered, using advertisement spending with lags and dummy variables for Black Friday and weekdays as predictors. LÄS MER
10. Reinforcement Learning in Problems with Continuous Action Spaces : a Comparative Study
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) is one of the three main areas in machine learning (ML) with a solid theoretical background and progress. Generally, RL can provide solutions to many real- world applications, such as self-driving cars and protein folding. LÄS MER