Accession Number:

ADA411542

Title:

Dual Nature Hidden Layers Neural Networks. "A Novel Paradigm of Neural Network Architecture"

Descriptive Note:

Conference paper

Corporate Author:

BANARAS HINDU UNIV VARANASI (INDIA)

Report Date:

2001-10-25

Pagination or Media Count:

5.0

Abstract:

We present here a new scheme to construct a neural network architecture based on the physiological properties biological neuron for enhancing its performance. The new scheme divides every hidden layer into two parts to facilitate the processing of 0 and 1 separately and reduces the total number of interconnections considerably. The first part consist of units that receives signals only from 1 state units of the immediately lower layer and are responsible for producing excitation units in the output layer i.e. the 1 state and the second part consist of units that also receives signals only 1 state units from the immediately lower layer are responsible for producing inhibition of the units in the output layer i.e. the 0 states. The resulting architecture converges fast, produces more reliable results and reduces the computational burden considerably when compared to fully connected neural networks.

Subject Categories:

  • Anatomy and Physiology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE