Introduction to Neural Networks Neural Networks are a major area of research within AI, drawing inspiration from the structure and function of the human nervous system. The first neurocomputer, developed by Dr. Robert Hecht-Nielsen, defines neural networks as “a computing system made up of simple, interconnected processing elements, which process information based on their response to external inputs.” Artificial Neural Networks (ANNs) mimic the brain’s structure, allowing computers to learn and make decisions in complex situations. What Are Artificial Neural Networks (ANNs)? ANNs consist of interconnected nodes, or "neurons," designed to process inputs, perform operations, and produce outputs. The system’s output, or activation, is influenced by the weighted connections among neurons. Through learning, ANNs adjust these weights to improve the accuracy of their responses. Types of Artificial Neural Networks FeedForward Neural Network: Information flows in one direction, wit...
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