Search Results - (( using function using algorithm ) OR ( using classification modified algorithm ))
Search alternatives:
- classification modified »
- using classification »
- using algorithm »
- using function »
-
1
Functional link neural network with modified bee-firefly learning algorithm for classification task
Published 2016“…The single layer property of FLNN also make the learning algorithm used less complicated compared to MLP network. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
2
An approach to improve functional link neural network training using modified artificial bee colony for classification task
Published 2013“…The standard method for tuning the weight in FLNN is using a Backpropagation (BP) learning algorithm. …”
Get full text
Get full text
Get full text
Article -
3
An approach to improve functional link neural network training using modified artificial bee colony for classification task
Published 2012“…The standard method for tuning the weight in FLNN is using a Backpropagation (BP) learning algorithm. …”
Get full text
Get full text
Article -
4
An approach to improve functional link neural network training using modified artificial bee colony for classification task
Published 2012“…The standard method for tuning the weight in FLNN is using a Backpropagation (BP) learning algorithm. …”
Get full text
Get full text
Article -
5
An Improved Wavelet Neural Network For Classification And Function Approximation
Published 2011“…The modified WNN was then applied in the areas of classification and function approximation.…”
Get full text
Get full text
Thesis -
6
Modified anfis architecture with less computational complexities for classification problems
Published 2018“…The results show that the proposed modified ANFIS architecture with gaussian membership function and Artificial Bee Colony (ABC) optimization algorithm, on average has achieved classification accuracy of 99.5% with 83% less computational complexity.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Reliable multiclass cancer classification of microarray gene expression profiles using an improved wavelet neural network
Published 2011“…The modified WNN was then applied to heterogeneous cancer classification using four different microarray benchmark datasets. …”
Get full text
Get full text
Get full text
Article -
8
Feature fusion using a modified genetic algorithm for face and signature recognition system
Published 2015“…A modified fitness function in Wrapper GA was introduced by adding a function to maintain the balanced of the selected features. …”
Get full text
Get full text
Thesis -
9
A hybrid-based modified adaptive fuzzy inference engine for pattern classification
Published 2011“…A modified Apriori algorithm technique is utilized to reduce a minimal set of decision rules based on input output data set. …”
Get full text
Get full text
Conference or Workshop Item -
10
Binary whale optimization algorithm with logarithmic decreasing time-varying modified sigmoid transfer function for descriptor selection problem
Published 2023“…This work introduced a new Binary Whale Optimization Algorithm, which utilized a novel time-varying modified Sigmoid transfer function with a modified logarithmic decreasing time-varying update strategy to improve the balancing of exploration and exploitation in WOA. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Improving amphetamine-type stimulants drug classification using chaotic-based time-varying binary whale optimization algorithm
Published 2022“…Firstly, a non-linear time-varying modified Sigmoid transfer function is used as the binarization method. …”
Get full text
Get full text
Get full text
Article -
12
Application Of Neural Network In Malaria Parasites Classification
Published 2006“…Hybrid Multilayer Perceptron (HMLP) network with modified recursive prediction error algorithm will be developed using Borland C++ Builder. …”
Get full text
Get full text
Monograph -
13
A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…The components of the AIRS2 algorithm that pose problems will be modified. This thesis proposes three new hybrid algorithms: The FRA-AIRS2 algorithm uses fuzzy logic to improve data reduction capability of AIRS2 and to solve the linearity problem associated with resource allocation of AIRS. …”
Get full text
Get full text
Thesis -
14
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
Get full text
Get full text
Thesis -
15
Logistic regression methods for classification of imbalanced data sets
Published 2012“…This thesis aims to develop the simple and effective imbalanced classification algorithms by previously improving the algorithms performance of general classifiers i.e. …”
Get full text
Get full text
Thesis -
16
Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…Nevertheless, AC is not required for LCM if the original multi-spectral image is used. The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
Get full text
Get full text
Thesis -
17
A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…Classification rules were generated from training feature vectors set, and a modified form of the standard voter classification algorithm, that use the rough sets generated rules, was applied. …”
Get full text
Get full text
Thesis -
18
Optimal placement and sizing of FACTS devices for optimal power flow using metaheuristic optimizers
Published 2022“…These algorithms are selected from the different metaheuristics classification groups, where the implementation of these algorithms into the said problems will be tested on the modified IEEE 14-bus system. …”
Get full text
Get full text
Get full text
Article -
19
An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving
Published 2014“…This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. …”
Get full text
Get full text
Get full text
Article -
20
A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The Takagi-Sugeno-Kang (TSK) type fuzzy inference system was chosen and constructed by an automatic generation of clusters as well as membership functions and minimal rules through the use of hybrid fuzzy clustering and the modified apriori algorithms respectively. …”
Get full text
Get full text
Thesis