Author

Manjunath Kotari

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Open access Jul 2026

Hybrid Optimizer Switching for Deep Neural Network Training in Time Series Forecasting

Experimental results demonstrate that the proposed hybrid optimization strategy provides a simple and effective solution for handling non-convex optimization problems and achieves performance that is superior or comparable to existing optimizers in terms of accuracy and loss minimization.

Harish Kunder, Manjunath Kotari · Anusandhanvallari · 0 citations

Open access Jul 2026

Hybrid Switching Optimization Strategy for Efficient Training of Deep Neural Networks on the MNIST Dataset

A phase-switch hybrid optimization strategy that combines the strengths of Adam and SGD is proposed that provides a simple and effective solution for handling non-convex optimization problems in deep learning.

Harish Kunder, Manjunath Kotari · Anusandhanvallari · 0 citations