Essays about: "artificiellt neuronnät"

Showing result 11 - 15 of 18 essays containing the words artificiellt neuronnät.

1. 11. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks

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

   Author : Mark Hobro; [2018]
   Keywords : Semantic integration; data integration; artificial neural networks; agglomerative hierarchical clustering; heterogeneous databases; relational data;

   Abstract : The process of data integration is an important part of the database field when it comes to database migrations and the merging of data. The research in the area has grown with the addition of machine learning approaches in the last 20 years. Due to the complexity of the research field, no go-to solutions have appeared. READ MORE

3. 12. Forecasting Stock Index using Deep Learning and how it can be applied in the financial sector

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

   Author : Saleh Saleh Abbas; [2018]
   Keywords : ;

   Abstract : The idea of predicting the stock market has existed for hundreds of years. From the pre-industrial age of japan investors used candlestick patterns to predict the movement of rice prices, to the modern age of high frequency robot traders. READ MORE

4. 13. Comparison of machine learning algorithms for real-time vehicle selection in transport management

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

   Author : David Fagerlund; [2018]
   Keywords : ;

   Abstract : This thesis compares algorithms for a dynamic pickup and delivery problem, when new orders are arriving throughout the day. The dispatchers job is to assign incoming orders to a fleet of vehicles. READ MORE

5. 14. Feature Selection for Sentiment Analysis of Swedish News Article Titles

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

   Author : Jonas Dahl; [2018]
   Keywords : sentiment analysis; machine learning; sentiments; ml; ai; neural networks; ann; artificial neural networks; convolutional neural network; cnn; language technology; natural language; news; titles; Swedish; sentimentanalys; maskininlärning; sentiment; ml; ai; neuronnät; ann; artificiella neuronnät; cnn; nyheter; nyhetsrubriker; språkteknologi;

   Abstract : The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how the text is best represented in such conditions. Sentiment analysis has traditionally been conducted by part-of-speech tagging and counting word polarities, which performs well for large domains and in absence of large sets of training data. READ MORE

6. 15. Character Recognition in Natural Images Utilising TensorFlow

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Alexander Viklund; Emma Nimstad; [2017]
   Keywords : character recognition; natural images; TensorFlow; data augmentation; neural networks; Chars74K; convolutional; teckenigenkänning; naturliga bilder; TensorFlow; dataaugmentering; neurala nätverk; neuronnät; Chars74K;

   Abstract : Convolutional Neural Networks (CNNs) are commonly used for character recognition. They achieve the lowest error rates for popular datasets such as SVHN and MNIST. Usage of CNN is lacking in research about character classification in natural images regarding the whole English alphabet. READ MORE