I am working on the development of a PMMS model. To select the best-performing tools and models, several models are needed to be developed and validated. Can this be replaced by some optimization algorithms?
Akhilesh Nautiyal
1. Use the downhill simplex method to minimize a function.
2. Use the BFGS algorithm to minimize a function.
3. Use the nonlinear conjugate gradient technique to minimize a function.
4. Using the Newton-CG approach, minimize the function f.
5. Use a modified Powell's approach to minimize a function.
Dear Akhilesh Nautiyal . See the following useful link: https://towardsdatascience.com/optimizers-for-training-neural-network-59450d71caf6
Kindly see also the following useful link: https://analyticsindiamag.com/optimisation-machine-learning-methods-gradient-descent/
Also check please the following useful link: https://machinelearningmastery.com/tour-of-optimization-algorithms/
The following link is also very useful: https://towardsdatascience.com/do-you-know-how-to-choose-the-right-machine-learning-algorithm-among-7-different-types-295d0b0c7f60
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