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Title: Dynamic Adaptive Neural Network Arrays: A Neuromorphic Architecture

Dynamic Adaptive Neural Network Array (DANNA) is a neuromorphic hardware implementation. It differs from most other neuromorphic projects in that it allows for programmability of structure, and it is trained or designed using evolutionary optimization. This paper describes the DANNA structure, how DANNA is trained using evolutionary optimization, and an application of DANNA to a very simple classification task.
Authors:
 [1] ;  [1]
  1. University of Tennessee (UT)
Publication Date:
OSTI Identifier:
1238015
DOE Contract Number:
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Supercomputing 2015: Machine Learning in HPC Environment Workshop, Austin, TX, USA, 20151115, 20151115
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English