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Through training, the network handles input and output data streams and adjusts parameters according to the provided information. Neural networks help make soft computing extraordinarily flexible and capable of handling high-level problems.
In soft computing, neural networks aid in pattern recognition, predictive modeling, and data analysis. They are also used in [[image recognition]], [[natural language processing]], [[speech recognition]], and [[system]]s.<ref name=":1" /><ref name=":3">{{Cite journal |title=Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition |url=https://ieeexplore.ieee.org/document/8859190 |access-date=2023-11-11 |doi=10.1109/ACCESS.2019.2945545 |date=2019 |last1=Abiodun |first1=Oludare Isaac |last2=Kiru |first2=Muhammad Ubale |last3=Jantan |first3=Aman |last4=Omolara |first4=Abiodun Esther |last5=Dada |first5=Kemi Victoria |last6=Umar |first6=Abubakar Malah |last7=Linus |first7=Okafor Uchenwa |last8=Arshad |first8=Humaira |last9=Kazaure |first9=Abdullahi Aminu |last10=Gana |first10=Usman |journal=IEEE Access |volume=7 |pages=158820–158846 |bibcode=2019IEEEA...7o8820A |doi-access=free }}</ref>
=== Evolutionary computation ===
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