Fractional-Order Optimization

Innovative algorithms for neural networks using fractional-order gradient descent and advanced optimization techniques.

Innovating Fractional-Order Optimization Techniques

Exploring advanced algorithms for neural networks using fractional-order derivatives to enhance model training and performance evaluation.

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A minimalist architectural structure with a triangular, layered design set against a gradient orange background.

150+

15

Research Excellence

Proven Impact

Fractional Optimization

Exploring fractional-order algorithms for neural network optimization.

A laptop displays a screen with the title 'ChatGPT: Optimizing Language Models for Dialogue', accompanied by descriptive text. The background shows a blurred image of a sandwich, and there's a white cup on the wooden table next to the laptop.
A laptop displays a screen with the title 'ChatGPT: Optimizing Language Models for Dialogue', accompanied by descriptive text. The background shows a blurred image of a sandwich, and there's a white cup on the wooden table next to the laptop.
Phase One

Constructing mathematical framework for fractional-order algorithms.

A dotwork illustration of a fox-like creature in mid-leap, composed entirely of small black dots on graph paper. The animal's form is dynamically posed, suggesting motion and energy. The background is a simple grid pattern of the graph paper.
A dotwork illustration of a fox-like creature in mid-leap, composed entirely of small black dots on graph paper. The animal's form is dynamically posed, suggesting motion and energy. The background is a simple grid pattern of the graph paper.
Phase Two

Implementing fractional-order optimizers and testing on datasets.

A grayscale digital abstract representation features a human-like face with a mesh overlay and various geometric patterns and data sequences. The image combines elements of a human face with grid lines and digital noise, suggesting a blend of technology and humanity. Numbers and codes are interspersed throughout, enhancing the theme of digital interaction.
A grayscale digital abstract representation features a human-like face with a mesh overlay and various geometric patterns and data sequences. The image combines elements of a human face with grid lines and digital noise, suggesting a blend of technology and humanity. Numbers and codes are interspersed throughout, enhancing the theme of digital interaction.
Curved, layered architectural elements create a series of overlapping arches with a smooth texture and gradient shading from light to dark.
Curved, layered architectural elements create a series of overlapping arches with a smooth texture and gradient shading from light to dark.
Phase Three

Applying optimizers to train and evaluate GPT models.

Evaluation Impact

Assessing effects of fractional-order parameters on performance.

Research

Exploring fractional-order algorithms for neural networks.

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