Neural Network Algorithms
Neural Network Algorithms encompass the methods and techniques used to optimize the performance of artificial neural networks, which are computational models inspired by the human brain's interconnected neurons. These algorithms are designed to train and fine-tune neural networks for various data mining tasks, including pattern recognition, prediction, and clustering. By adjusting parameters such as weights and biases within the network, these algorithms enable the model to learn from input data and improve its accuracy over time. As a crucial component of Data Mining in the broader context of Artificial Intelligence and Technology, Neural Network Algorithms play a pivotal role in leveraging the power of artificial neural networks to extract meaningful insights and drive decision-making.