Sökning: "FFNN"
Hittade 5 uppsatser innehållade ordet FFNN.
1. Investigating Machine Learning for verification of AMBA APB protocol.
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. LÄS MER
2. Anomaly detection in electricity demand time series data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The digitalization of the energy industry has made tremendous energy data available. This data is utilized across the entire energy value chain to provide value for customers and energy providers. LÄS MER
3. Evaluation of Artificial Neural Networks for Predictive Maintenance
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för datavetenskapSammanfattning : This thesis explores Artificial Neural Networks (ANNs) for predictive time series classification for Predictive Maintenance (PdM). Time slicing and time shifting are methods used, to enable the models to find features over time, and to predict into the future, respectively. LÄS MER
4. Recurrent neural networks in electricity load forecasting
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis two main studies are conducted to compare the predictive capabilities of feed-forward neural networks (FFNN) and long short-term memory networks (LSTM) in electricity load forecasting. The first study compares univariate networks using past electricity load, as well as multivariate networks using past electricity load and air temperature, in day-ahead load forecasting using varying lookback periods and sparsity of past observations. LÄS MER
5. Stock Forecasting Using Artificial Neural Networks
Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : This paper studies the potential of artificial neural networks (ANNs) in stock forecasting. It also investigates how the number of neurons in the network, as well as the distribution of the training data into training, validation and testing sets, affect the accuracy of the network. LÄS MER