Essays about: "artificial Neural Network forecasting"

Showing result 1 - 5 of 46 essays containing the words artificial Neural Network forecasting.

1. 1. Time Series Forecasting on Database Storage

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Pranav Patel; [2024]
   Keywords : Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

   Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE

3. 2. Artificial Neural Networks for Financial Time Series Prediction

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Dana Malas; [2023]
   Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

   Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE

4. 3. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Humphry Takang Bate; [2023]
   Keywords : ;

   Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

5. 4. Are Distributed Representations in Neural Networks More Robust Against Malicious Fooling Attacks

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Nida Sardar; Sundas Khan; [2023]
   Keywords : Adversarial attacks; Information Smearedness; Artificial Neural Networks; Information Relay; Dropout; Fast Gradient Sign Method;

   Abstract : A plethora of data from sources like IoT, social websites, health, business, and many more have revolutionized the digital world in recent years. To make effective use of data for any sort of analysis, prediction, or automation of applications, the demand for machine learning and artificial intelligence has grown over time. READ MORE

6. 5. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle

   University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Author : Yo Fujimoto; [2023]
   Keywords : Artificial neural network; machine learning; random forest; deep learning; electric vehicle; decision tree; k-nearest neighbors; permanent magnet synchronous machine;

   Abstract : Permanent magnet synchronous machines have various advantages and have showed the most superiorperformance for Electric Vehicles. However, modeling them is difficult because of their nonlinearity. READ MORE