Search Results - (( intelligence based ((m algorithm) OR (_ algorithm)) ) OR ( intelligence based group algorithm ))
Search alternatives:
- intelligence based »
- group algorithm »
- m algorithm »
-
1
-
2
Committee neural networks with fuzzy genetic algorithm.
Published 2011“…Combining numerous appropriate experts can improve the generalization performance of the group when compared to a single network alone. There are different ways of combining the intelligent systems' outputs in the combiner in the committee neural network, such as simple averaging, gating network, stacking, support vector machine, and genetic algorithm. …”
Get full text
Get full text
Get full text
Article -
3
A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
Published 2020“…A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed …”
Get full text
article -
4
Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
Get full text
Get full text
Thesis -
5
Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques
Published 2016“…Nevertheless, most of the past researcher already aware with the issue related to intelligent energy management. Yet, these studies could not fill the gap of the problem associated with intelligent energy management and require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
Get full text
Get full text
Article -
6
Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques
Published 2016“…Nevertheless, most of the past researcher already aware with the issue related to intelligent energy management. Yet, these studies could not fill the gap of the problem associated with intelligent energy management and require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
Get full text
Get full text
Article -
7
-
8
-
9
-
10
Swarm intelligence-based feature selection for amphetamine-type stimulants (ATS) drug 3D molecular structure classification
Published 2021“…Swarm intelligence-based feature selection techniques are implemented by this work to increase classifier performance in classifying Amphetamine-type Stimulants (ATS) drugs. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
-
12
-
13
-
14
Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach
Published 2024Subjects:Conference Paper -
15
-
16
Distributed planning and control of multirobot formations with navigation and obstacle avoidance
Published 2011Get full text
Get full text
Conference or Workshop Item -
17
Optimizing the Management of Knowledge Assets using Swarm Intelligence
Published 2018“…Hence, this indicates that the proposed swarm intelligence based clustering facilitates the grouping of knowledge assets. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations
Published 2023Conference Paper -
19
Optimised intelligent tilt controller scheme using genetic algorithms
Published 2006Get full text
Get full text
Get full text
Conference or Workshop Item -
20
A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
Published 2021“…We propose a new reinforced active learning strategy based on a deep reinforcement learning algorithm. …”
Get full text
Get full text
Article
