A neural network classifier based on Dempster-Shafer theory

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A neural network classifier based on Dempster-Shafer theory

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In the context of the document, there is a mention of a neural network classifier that is based on Dempster-Shafer theory. This classifier utilizes the principles and concepts derived from Dempster-Shafer theory to make predictions and classify data. The neural network classifier employs a computational model that simulates the behavior of the human brain, allowing it to learn patterns and make decisions based on input data. This approach combines the power of neural networks with the robustness of Dempster-Shafer theory, resulting in a sophisticated and effective classifier that can be applied to various domains and problem-solving scenarios.