Robustness of our method.

Robustness of our method.

<p>Robustness of our method.</p>

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Bibliographic Details
Main Author:	Ying Wen (314608) (author)
Other Authors:	Temuer Chaolu (12359903) (author), Xiangsheng Wang (2054356) (author)
Published:	2022
Subjects:	Neuroscience Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified existing similar methods initial value problems initial value problem second part consists numerical methods without method significantly reduces feedforward neural network easily solved using lie group expressions ordinary differential equations numerical method lie group differential equations initial values trained using ordinary des first part network parameters xlink "> two parts several cases original ivp known symbolic graphically represented des ), biases ). accurately learn
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