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KembaraXtra-Computer Terms – artificial neural network:
An artificial neural network is a type of artificial intelligence system designed to mimic the way biological neural networks in the human brain process information. It consists of interconnected processing units, often called neurons, that work together to analyze input data and produce an output. These networks learn by adjusting the strength of the connections between neurons based on the data they process, enabling them to improve performance over time without being explicitly programmed for every possible situation. Artificial neural networks are commonly used for tasks such as pattern recognition, speech recognition, image classification, data prediction, and decision-making systems. Their adaptive learning ability allows them to detect complex relationships within large datasets and apply that knowledge to solve new problems.
An artificial neural network is a type of artificial intelligence system designed to mimic the way biological neural networks in the human brain process information. It consists of interconnected processing units, often called neurons, that work together to analyze input data and produce an output. These networks learn by adjusting the strength of the connections between neurons based on the data they process, enabling them to improve performance over time without being explicitly programmed for every possible situation. Artificial neural networks are commonly used for tasks such as pattern recognition, speech recognition, image classification, data prediction, and decision-making systems. Their adaptive learning ability allows them to detect complex relationships within large datasets and apply that knowledge to solve new problems.
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