Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Mohammed AWAD
Enhanced Hybrid Method of Divide-And-Conquer and RBF Neural Networks for Function Approximation of Complex Problems
Turkish Journal of Electrical Engineering and Computer Sciences
Electronic Engineering
Electrical
Computer Science
Related publications
A Divide-And-Conquer Method for the Takagi Factorization
SIAM Journal on Matrix Analysis and Applications
Analysis
Divide and Conquer
Divide-And-Conquer Algorithms for Multiprocessors
Divide and Conquer
Design of Hybrid Fuzzy Neural Network for Function Approximation
Journal of Intelligent Learning Systems and Applications
System Identification Through RBF Neural Networks: Improving Accuracy by a Numerical Approximation Method for the Centroids and Widths Adjustment
Divide and Conquer Roadmap for Algebraic Sets
Discrete and Computational Geometry
Combinatorics
Mathematics
Geometry
Discrete Mathematics
Computational Theory
Topology
Theoretical Computer Science
Conflict Graph-Based Model for IEEE 802.11 Networks: A Divide-And-Conquer Approach
Performance Evaluation
Computer Networks
Simulation
Hardware
Communications
Architecture
Modeling
Software
WDN-RBF: Weighted Data Normalization for Radial Basic Function Type Neural Networks