Zettelkasten/Terminology Information95

• 

  LSTM (Long Short-Term Memory) Information LSTM (Long Short-Term Memory) is a type of recurrent neural network (RNN) architecture that is specifically designed to capture long-term dependencies and handle the problem of vanishing gradients that often occur in traditional RNNs. It was introduced in 1997 by Hochreiter and Schmidhuber to solve the problem of learning and remembering sequences of information for a long time. LSTM.. Zettelkasten/Terminology Information 2023. 3. 16.

• 

  Multi-step ahead forecasting Information Multi-step ahead forecasting refers to the task of predicting multiple future time steps in a time series. This is a more challenging task than single-step forecasting, which involves predicting only the next time step. Multi-step ahead forecasting can be performed using a variety of techniques, including statistical models and machine learning algorithms. Some common approaches to m.. Zettelkasten/Terminology Information 2023. 3. 15.

• 

  Ensemble learning Information Ensemble learning combines the predictions of multiple models to achieve better accuracy than a single model. There are three types of ensemble learning: bagging, boosting, and stacking. Bagging (bootstrap aggregating) involves training multiple models on different subsets of the training data and then averaging their predictions. Boosting involves training multiple models in sequenc.. Zettelkasten/Terminology Information 2023. 3. 15.

• 

  Short receptive field Information A receptive field is a term used in machine learning to describe the size of the area in an image or sequence that the model is considering at one time. A short receptive field is a small area that a model considers at once. Short receptive fields are used in neural networks and deep learning models to enable the model to capture local patterns in the input data. When a model has a s.. Zettelkasten/Terminology Information 2023. 3. 14.

• 

  F-statistic Information The F-statistic is a measure used in statistical analysis to determine the significance of the difference between two group means. It is calculated by dividing the variance between groups by the variance within groups. F-statistic is used in analysis of variance (ANOVA), regression analysis, and other types of statistical models. The F-statistic follows the F-distribution, which is a.. Zettelkasten/Terminology Information 2023. 3. 14.

• 

  BiLSTM (Bidirectional Long Short-Term Memory) Information BiLSTM (Bidirectional Long Short-Term Memory) is a variant of LSTM (Long Short-Term Memory) neural networks that is commonly used for sequential data analysis tasks such as speech recognition, natural language processing, and time series prediction. BiLSTM models incorporate a forward LSTM and a backward LSTM that process the input sequence in both directions. The forward LSTM proces.. Zettelkasten/Terminology Information 2023. 3. 13.

• 

  P-value Information P-value is a statistical measure that helps to determine the significance of a result in a hypothesis test. It represents the probability of obtaining an observation or a more extreme observation, assuming the null hypothesis is true. The null hypothesis is the hypothesis that there is no significant difference between two groups or variables. The smaller the p-value, the more eviden.. Zettelkasten/Terminology Information 2023. 3. 13.

• 

  DCCN (Dilated Causal Convolution Neural Network) Information DCCN (Dilated Causal Convolution Neural Network) is a deep learning architecture used for time series forecasting that combines dilated causal convolutional layers and residual connections. Dilated causal convolutions are a variant of convolutional layers that incorporate time information and can capture long-term dependencies in time series data. The causal aspect of the convolution.. Zettelkasten/Terminology Information 2023. 3. 12.

• 

  CART (Classification And Regression Tree) Information CART (Classification And Regression Tree) is a decision tree algorithm used for both classification and regression analysis. It involves recursively splitting the dataset into smaller subsets by identifying the best predictor variables and splitting rules that minimize the variance or impurity within each subset. The algorithm builds a binary tree with the target variable at the root.. Zettelkasten/Terminology Information 2023. 3. 12.

• 

  DL (Deep Learning) Information Deep Learning is a subset of machine learning that uses neural networks with multiple hidden layers to learn and extract features from large amounts of data. The architecture of a deep neural network typically consists of several layers of neurons, each performing a different transformation on the input data. Deep learning models are capable of learning hierarchical representations o.. Zettelkasten/Terminology Information 2023. 3. 11.

• 

  Regression tree Information A regression tree is a decision tree used in regression problems, i.e., where the goal is to predict a continuous target variable. It is built using a recursive partitioning algorithm that splits the data into homogeneous subsets based on the values of the predictor variables. The algorithm finds the best split at each node using a criterion such as the sum of squared errors, varianc.. Zettelkasten/Terminology Information 2023. 3. 11.

• 

  NN (Neural Network) Information Neural networks are a class of machine learning algorithms that are inspired by the structure and function of the human brain. They consist of layers of interconnected nodes, or artificial neurons, that can learn to recognize patterns in data by adjusting the weights of the connections between them. A typical neural network consists of an input layer, one or more hidden layers, and a.. Zettelkasten/Terminology Information 2023. 3. 10.

• 

  PV (PhotoVoltaic) Information A PV (PhotoVoltaic) system is a type of renewable energy technology that converts sunlight into electricity. PV cells are made up of semiconducting materials, such as silicon, and are designed to produce a flow of electrons when exposed to sunlight. The electricity produced by a PV system can be used to power a variety of applications, from small consumer devices to large-scale power.. Zettelkasten/Terminology Information 2023. 3. 10.

• 

  GA (Genetic Algorithm) Information GA (Genetic Algorithm) is a metaheuristic optimization algorithm that is inspired by the biological process of natural selection and genetics. The algorithm starts by randomly initializing a population of individuals, each representing a potential solution to the optimization problem, and evaluating their fitness based on a predefined objective function. The individuals are then sele.. Zettelkasten/Terminology Information 2023. 3. 9.

• 

  Microgrid Information A microgrid is a small-scale electrical system that can operate independently or in conjunction with a larger grid. Microgrids are typically designed to supply power to a specific geographic area or to serve a particular set of customers. A microgrid typically includes various distributed energy resources (DERs) such as solar panels, wind turbines, energy storage systems, and backup .. Zettelkasten/Terminology Information 2023. 3. 9.

• 

  PSO (Particle Swarm Optimization) Information PSO (Particle Swarm Optimization) is a metaheuristic optimization algorithm that is inspired by the social behavior of bird flocks or fish schools. The algorithm starts by randomly initializing a population of particles, each representing a potential solution to the optimization problem, and assigning them random velocities. The particles then move through the search space, guided by.. Zettelkasten/Terminology Information 2023. 3. 8.

• 

  EPO (Emperor Penguin Optimization) Information EPO (Emperor Penguin Optimization) is based on the observation that emperor penguins exhibit a group foraging behavior that helps them find food in the harsh Antarctic environment. EPO uses a population of solutions, called penguins, that move through the search space in search of the optimum solution. The penguins are divided into two groups: leaders and followers. Leaders explore t.. Zettelkasten/Terminology Information 2023. 3. 8.

• 

  FFNN (Feed Forward Neural Network) Information A FFNN (Feed-Forward Neural Network) is a type of artificial neural network in which the information flows only in one direction, from input layer to output layer. The network consists of one or more hidden layers, each of which contains a number of neurons or processing units that transform the input signals using a nonlinear activation function, such as the sigmoid, ReLU, or tanh f.. Zettelkasten/Terminology Information 2023. 3. 7.

• 

  MVO (Multi-Verse Optimization) Information MVO (Multi-Verse Optimization) is a swarm-based metaheuristic optimization algorithm used for solving optimization problems. It is inspired by the concept of multiple universes, where each universe represents a possible solution to the optimization problem. The algorithm is based on three main phases: Initialization, Evolution, and Selection. In the Initialization phase, the algorith.. Zettelkasten/Terminology Information 2023. 3. 7.

• 

  CMIFS (Conditional Mutual Information-based Feature Selection) Information CMIFS (Conditional Mutual Information-based Feature Selection) is a type of feature selection method that aims to identify the most informative subset of features that are relevant to a target variable. CMIFS ranks the features based on their conditional dependence with the target variable, given the other features, and selects the top-ranked features that have the highest conditiona.. Zettelkasten/Terminology Information 2023. 3. 6.