Essays about: "introduction of neural network using matlab"

Found 3 essays containing the words introduction of neural network using matlab.

  1. 1. Improving the guidance, navigation and control design of the KNATTE platform

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Lars Lundström; [2023]
    Keywords : Multisensor Data Fusion; Nonlinear Kalman Filter; Neural Network;

    Abstract : For complex satellite missions that rely on agile and high-precision manoeuvres, the low-friction aspect of the space environment is a critical component in understanding the attitude control dynamics of the spacecraft. The Kinesthetic Node and Autonomous Table-Top Emulator (KNATTE) is a three-degree-of-freedom frictionless vehicle that serves as the foundation of a multipurpose platform for real-time spacecraft hardware-in-the-loop experiments, and allows emulation of these conditions in two dimensions with the purpose of validating various guidance, navigation, and control algorithms. READ MORE

  2. 2. A study of Neural Circuitry in Microdeletion Syndrome

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

    Author : David Holmberg; [2020]
    Keywords : Signal Processing; Analytical Software; Large Data Set; Classification; Sorting; Neurotechnology; Technology and Engineering;

    Abstract : Abstract Introduction. The Brain is an amazingly complex piece of biological hardware, capable of massive information processing. It relies heavily on the delicate interactions between huge distributed networks to work properly. When these interactions are altered there can be any number of consequences. READ MORE

  3. 3. Machine Learning for Solar Energy Prediction

    University essay from Högskolan i Gävle/Avdelningen för elektronik, matematik och naturvetenskap

    Author : Claudia Ferrer Martínez; [2018]
    Keywords : Machine Learning; Solar Energy; Forecasting; MATLAB; Supervised Learning; Regression Model;

    Abstract : This thesis consists of the study of different Machine Learning models used to predict solar power data in photovoltaic plants. The process of implement a model of Machine Learning will be reviewed step by step: to collect the data, to pre-process the data in order to make it able to use as input for the model, to divide the data into training data and testing data, to train the Machine Learning algorithm with the training data, to evaluate the algorithm with the testing data, and to make the necessary changes to achieve the best results. READ MORE