Performance Improvement of Reading Brain Function Considering Quantified Analysis of Highly Specialized Neurons (Neural Networks Approach)
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 9)Publication Date: 2014-09-30
Authors : Hassan M. H. Mustafa;
Page : 126-138
Keywords : Artificial neural network modeling; Reading brain Performance; Associative memory; Self-organized learning.;
Abstract
This piece of research adopts the conceptual approach of (ANN) models inspired by functioning of highly specialized biological neurons in reading brain based on the organization the brain's structures/substructures. Additionally, in accordance with the prevailing concept of individual intrinsic characterized properties of highly specialized neurons, presented models closely correspond to performance of these neurons for developing reading brain in a significant way. More specifically, introduced models concerned with their important role played in carrying out cognitive brain function' outcomes. The cognitive goal for reading brain is to translate that orthographic
Other Latest Articles
- Cloud Storage Security And Providing Integrity Proof
- Treatment of Edible oil Refinery Waste Water by Using Chemical and Biological Process
- Thermodynamics of Solvation for Nano Copper Sulfate in Mixed DMF?H2O Solvents at Different Temperatures
- Thermodynamics of Solvation for Nano Barium Carbonate in Mixed DMF?H2O Solvents at Different Temperatures
- Simulation of Technical Systems on the basis of Vector Optimization (1. Equivalent Criteria)
Last modified: 2014-10-14 22:30:32