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Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics
Research article (Neural Computing and Applications, 2016) · cited 101× · AI/ML
Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics
Summary
Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics is a scholarly article[1].
Key Facts
Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-artificial-neural-network-models-optimized-with-sequential-quadratic-programming-to-study-the-dynamics-of-nonl
MLA“Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-of-artificial-neural-network-models-optimized-with-sequential-quadratic-programming-to-study-the-dynamics-of-nonl.
BibTeX@misc{4ortxyz_design-of-artificial-neural-network-models-optimized-with-sequential-quadratic-programming-to-study-the-dynamics-of-nonl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-artificial-neural-network-models-optimized-with-sequential-quadratic-programming-to-study-the-dynamics-of-nonl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics — https://4ort.xyz/entity/design-of-artificial-neural-network-models-optimized-with-sequential-quadratic-programming-to-study-the-dynamics-of-nonl (retrieved 2026-05-24)
