THE PLACE OF ARTIFICIAL NEURAL NETWORK MODELS IN EXPERT SYSTEMS

Abstract

Understanding the evolution of artificial neural networks and their introduction into expert systems provides a foundational knowledge of their significance. Key milestones in the development of ANNs and their initial applications in expert systems are crucial for appreciating their current role and potential.  Delving into the workings of ANNs, including their structure (neurons, layers, activation functions) and learning processes (supervised, unsupervised, reinforcement learning), gives insight into why these models are effective. This section will cover how ANNs process information, learn from data, and adjust their parameters to improve performance.