Artificial neural network is a computational model that consists of several processing elements that receive inputs and deliver outputs based on their predefined activation functions. Commercial applications of these technologies generally focus on solving complex signal processing or pattern recognition problems. Examples of significant commercial applications of Artificial neural networks since 2000 include handwriting recognition for check processing, speech-to-text transcription, oil-exploration data analysis, weather prediction and facial recognition. Artificial neural networks are notable for being adaptive. Image recognition was one of the first areas to which neural networks were successfully applied, but the technology uses have expanded to many more areas, including: chatbots, natural language processing, translation and language generation, stock market prediction, delivery driver route planning and optimization, drug discovery and development.

Dency Varghese

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