Standardization of neural network terminology

Area of Science:

• Computer Science
• Artificial Intelligence
• Machine Learning

Background:

• The field of neural networks requires standardized terminology for clear communication and reproducible research.
• An ad hoc committee was formed by the IEEE Neural Networks Council to address this need.

Purpose of the Study:

• To outline the initial activities of the newly established standards committee.
• To propose a foundational list of frequently used terms within the neural networks domain.
• To present initial definitions for committee consideration.

Main Methods:

• Formation of an ad hoc standards committee under the IEEE Neural Networks Council.
• Compilation of a proposed list of frequently used terms.
• Development of proposed definitions for key terms.

Main Results:

• The committee's initial activities and organizational structure have been established.
• A preliminary list of frequently used terms relevant to neural networks has been proposed.
• Several definitions for these terms have been put forth for review.

Conclusions:

• The establishment of this committee marks a significant step towards standardizing neural network terminology.
• The proposed terms and definitions provide a basis for future standardization efforts.
• Continued collaboration and input are essential for the committee's success in developing comprehensive standards.