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Neural Network in Artificial Intel lhgence

Mattew

1991enneural networksartificial intelligencemachine learningtechnology

Abstract

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This document discusses the application of neural networks in the field of artificial intelligence. The objective is to explore how neural network models can improve the performance of intelligent systems. A methodology involving theoretical analysis and practical implementations of various neural network architectures is employed. The results demonstrate that these models significantly enhance the capability of machines to process information, recognize patterns, and make decisions based on complex data. These findings underscore the potential of neural networks as a foundational technology in advancing artificial intelligence applications.

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@article{b7ed61d7-cba3-4d7b-9814-c83bd1f970b4,
  title={Neural Network in Artificial Intel lhgence},
  author={Mattew},
  year={1991},
  language={en}
}
TY  - JOUR
TI  - Neural Network in Artificial Intel lhgence
AU  - Mattew
PY  - 1991
LA  - en
ER  -

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