Dual Nature Hidden Layers Neural Networks. "A Novel Paradigm of Neural Network Architecture"
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 25, 2001
- Accession Number
- ADA411542
Entities
People
- B. B. Paul
- Ravi Prakash
- S. Karthikeyan
Organizations
- Banaras Hindu University