Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Microcode optimization with neural networks.

S Bharitkar¹, K Tsuchiya, Y Takefuji

¹Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA 90089-2564, USA.

IEEE Transactions on Neural Networks

|February 7, 2008

Summary

This summary is machine-generated.

Related Concept Videos

Neural Regulation

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

Maximizing the Directional Derivative

Maximizing the Directional Derivative

The directional derivative is a central concept in multivariable calculus that describes how a function changes at a given point when moving in a specified direction. This direction is represented by a unit vector, ensuring that only the orientation influences the rate of change. By varying the direction, different rates of change can be observed, demonstrating that the directional derivative depends strongly on the chosen direction.The directional derivative is computed using the gradient...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A new approach to analysis of human sweating.

Experientia·1996

Same author

Endotoxin-induced L-arginine pathway produces nitric oxide and modulates the Ca2+-activated K+ channel in cultured human dermal papilla cells.

The Journal of investigative dermatology·1996

Same author

[One stage operation for ischemic heart disease and abdominal aortic aneurysm with ascending aortic calcification].

Kyobu geka. The Japanese journal of thoracic surgery·1996

Same author

In vitro stimulation of articular chondrocyte mRNA and extracellular matrix synthesis by hydrostatic pressure.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·1996

Same author

Gonadoblastoma: molecular definition of the susceptibility region on the Y chromosome.

American journal of human genetics·1995

Same author

Widespread appearance of Alz-50 immunoreactive neurons in the human brain with cerebral infarction.

Stroke·1995

This study introduces a novel Hopfield neural network method for microcode optimization, improving control memory wordwidth in microprogrammed computers. The approach enhances efficiency for complex digital systems.

Area of Science:

Computer Engineering
Artificial Intelligence
Optimization Theory

Background:

Microcode optimization is a complex, NP-complete problem.
Existing methods face limitations in scalability and cost function minimization.

Purpose of the Study:

To develop a new method for microcode optimization using Hopfield neural networks.
To optimize control memory wordwidth in microprogrammed digital computers.

Main Methods:

A hybrid approach combining maximum clique for initial data partitioning and a cost function-based method for optimization.
Utilizing Hopfield neural networks to minimize an objective function for wordwidth optimization.

Main Results:

The proposed method effectively optimizes control memory wordwidth.

Related Experiment Videos

The cost function-based approach, after initial data conditioning, discovers superior solutions compared to existing schemes on benchmark datasets.

Conclusions:

The Hopfield neural network-based method offers a promising solution for microcode optimization.
This approach provides improved efficiency and solution quality for microprogrammed digital computer design.