Machine intelligence using hierarchical memory networks

A. P. James

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


This chapter presents the fundamentals of a hardware based memory network that can perform complex cognitive tasks. The network is designed to provide space dimensionality reduction, which enables desired functionality in a random environment. Complex network functionality is achieved by simple network cells that minimize the needed chip area for hardware implementation. Functionality of this network is demonstrated by automatic character recognition with various input deformations. In the character recognition, the network is trained to recognize characters deformed by random noise, rotation, scaling, and shifting. This example demonstrates how cognitive functionality of a hardware network can be achieved through an evolutionary process, as distinct from design based on mathematical formalism.

Original languageEnglish
Title of host publicationHandbook of Research on Computational Intelligence for Engineering, Science, and Business
PublisherIGI Global
Number of pages12
ISBN (Print)9781466625181
Publication statusPublished - Dec 1 2012
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Machine intelligence using hierarchical memory networks'. Together they form a unique fingerprint.

Cite this