Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Dynamic nonlinear least square (DNLS) problems are usually encountered in modern engineering, which are challenging to solve due to time-delay errors and noise in practical applications with ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
Abstract: During the development of fuel cell hybrid electric vehicle, it is crucial to obtain real-time information on the physical distribution within the fuel cell stack to ensure the consistency ...
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