Essays about: "FFNN"

Found 5 essays containing the word FFNN.

1. 1. Investigating Machine Learning for verification of AMBA APB protocol.

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Abhiram Srisai Kishore; Mohammed Wasim; [2022]
   Keywords : Machine learning; SOC Verification; AMBA; Neural Networks; Deep Learning; Assertions.; Technology and Engineering;

   Abstract : 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. READ MORE

3. 2. Anomaly detection in electricity demand time series data

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

   Author : Mahmood Bakhtawar Shah; [2019]
   Keywords : LSTM; FFNN; electricity load forecasting; anomaly detection;

   Abstract : 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. READ MORE

4. 3. Evaluation of Artificial Neural Networks for Predictive Maintenance

   University essay from Lunds universitet/Institutionen för datavetenskap

   Author : Anders Buhl; Hugo Hjertén; [2018]
   Keywords : Predictive Maintenance; Time Series Classification; Machine Learning; Artificial Neural Networks; FFNN; CNN; LSTM; Technology and Engineering;

   Abstract : 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. READ MORE

5. 4. Recurrent neural networks in electricity load forecasting

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

   Author : Samiul Alam; [2018]
   Keywords : Recurrent neural networks electricity load forecasting lstm renewable energy;

   Abstract : 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. READ MORE

6. 5. Stock Forecasting Using Artificial Neural Networks

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

   Author : Daniel Millevik; Michael Wang; [2015]
   Keywords : ;

   Abstract : 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. READ MORE