Research Algorithms

Deep Belief Networks (DBN): Architecture, Training Process & Applications in Deep Learning

What is Deep Belief Networks (DBN) Algorithm? One kind of deep learning model is called a Deep Belief Network (DBN), which is composed of several layers of unsupervised learning models…

Deep Q-Networks (DQN): Reinforcement Learning with Deep Neural Networks Explained

What is Deep Q-Networks (DQN) Algorithm? The Deep Q-Network (DQN) algorithm is a reinforcement learning technique that solves issues with very large or continuous state or action spaces by combining…

Harmony Search Algorithm

What is Harmony Search Algorithm? The Harmony Search (HS) Algorithm is a metaheuristic optimization algorithm inspired by nature that finds the best answers to challenging issues by simulating musical improvisation.…

Cuckoo Search Algorithm

What is Cuckoo Search Algorithm? A metaheuristic optimization algorithm inspired by nature, the Cuckoo Search Algorithm (CSA) imitates the brood parasitism behavior of cuckoo birds. This algorithm, which was created…

Extreme Learning Machine (ELM): Fast Learning Algorithm for Single-Layer Feedforward Networks

What is Extreme Learning Machine (ELM) Algorithm? A quick and effective machine learning approach for training Single Hidden Layer Feedforward Neural Networks (SLFNs) is called Extreme Learning Machine (ELM). ELM…

Naive Bayes Algorithm: Working Principle, Types & Applications in Machine Learning

What is Naïve Bayes Algorithm? Naïve Bayes is a probabilistic classification algorithm that relies on Bayes’ Theorem. It assumes that all features in the dataset are independent of one another.…

Support Vector Machine (SVM) Algorithm: Concept, Working, and Applications in ML

What is SVM? A supervised learning approach for classification and regression problems is called Support Vector Machine (SVM). Pattern recognition, text categorization, and bioinformatics all make extensive use of it,…

Multilayer Perceptron (MLP): Architecture, Working & Applications in Neural Networks

What is Multilayer Perceptron (MLP) ? An input layer, one or more hidden layers, and an output layer are among the several layers of neurons that make up a multilayer…

Artificial Neural Networks (ANN): Architecture, Learning Process & Applications in AI

ANN Algorithm A computational model called an artificial neural network (ANN) is modeled after the composition and operations of the human brain. It is a crucial part of deep learning…

Genetic Algorithm (GA)

Genetic Algorithm (GA) The search and optimization method known as a genetic algorithm (GA) is based on the ideas of evolution and natural selection. It is a heuristic method that…