Numerical Analysis for Cervical Cancer Using Stochastic Levenberg-Marquardt Backpropagated Technique

Explore a 21-minute lecture on advanced numerical analysis techniques applied to cervical cancer research. Delve into the application of the Stochastic Levenberg-Marquardt Backpropagated Technique based on Neural-Networks. Presented by Raza Karamat from the University of Gujrat, this talk is part of the "Mathematics of the Hallmarks of Cancer" series at the Fields Institute. Gain insights into cutting-edge mathematical approaches for analyzing and understanding cervical cancer, combining stochastic methods, neural networks, and backpropagation techniques. Suitable for researchers, data scientists, and medical professionals interested in the intersection of mathematics and oncology.

Numerical Analysis for Cervical Cancer using Stochastic Levenberg-Marquardt Backpropagated Technique