Search Results - (( developing training search algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- developing training »
- implication based »
- java implication »
- search »
-
1
Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
2
Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…Due to that, many algorithms employ different training algorithms to guide the network for providing an accurate result with less training and testing error. …”
Get full text
Get full text
Thesis -
3
Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…The Gradient-Based Cuckoo Search (GBCS) algorithm was used to achieve the final objective. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
Published 2015“…Therefore genetic algorithm (GA) is employed to search for a minimum number of relevant features nonlinearly to increase the classification accuracy while reducing the computational effort of the training process. …”
Get full text
Get full text
Get full text
Thesis -
5
Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin
Published 2014“…Bat algorithm was employed to optimize the training parameters such as learning rate, momentum rate and number of neurons in hidden layers. …”
Get full text
Get full text
Article -
6
PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM
Published 2011“…This research focuses on the use of binaryencoded genetic algorithm (GA) to implement efficient search strategies for the optimal architecture and training parameters of a multilayer feed-forward ANN. …”
Get full text
Get full text
Thesis -
7
Hybrid bat algorithm hybrid-artificial neural network for modeling operating photovoltaic module temperature / Noor Rasyidah Hussin
Published 2014“…Bat algorithm was employed to optimize the training parameters such as learning rate, momentum rate and number of neurons in hidden layers. …”
Get full text
Get full text
Thesis -
8
State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Published 2023Conference Paper -
9
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
Get full text
Get full text
Thesis -
10
Predicting open space parking vacancies using machine learning
Published 2023“…A custom object detector developed using the YOLOv4 algorithm was used to collect the data for training the machine learning model. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
11
Artificial neural networks based optimization techniques: A review
Published 2023“…In this paper, we present an extensive review of artificial neural networks (ANNs) based optimization algorithm techniques with some of the famous optimization techniques, e.g., genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC), and backtracking search algorithm (BSA) and some modern developed techniques, e.g., the lightning search algorithm (LSA) and whale optimization algorithm (WOA), and many more. …”
Review -
12
-
13
Application of Bat Algorithm and Its Modified Form Trained with ANN in Channel Equalization
Published 2022“…Here, in this work, to develop the symmetry-based efficient channel equalization in wireless communication, this paper proposes a modified form of bat algorithm trained with ANN for channel equalization. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
14
Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks
Published 2023“…This work proposed a new hybridised network of 3-Satisfiability structures that widens the search space and improves the effectiveness of the Hopfield network by utilising fuzzy logic and a metaheuristic algorithm. …”
Get full text
Get full text
Get full text
Get full text
Article -
15
Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee
Published 2023“…Different types of metaheuristic optimization tools have their unique features which vary from others and hence lead to different suitability in the particular application. Two metaheuristic algorithms i.e., Harmony Search (HS) and Gravitational Search Algorithm (GSA), are selected to integrate separately with a Radial Basis Function Network with Dynamic Decay Adjustment (RBFN-DDA) to perform condition monitoring in industrial processes. …”
Get full text
Get full text
Get full text
Thesis -
16
An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…The research implements stock prediction analysis as a case study for training the neural network by adopting MGWO algorithm. …”
Get full text
Get full text
Thesis -
17
Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
Published 2010“…Noise image can be removed effectively with PIFS algorithm but the problem is high computational complexity in the searching process.…”
Get full text
Get full text
Thesis -
18
Isolated digit speech recognition in Malay language using Neuro-Fuzzy approach
Published 2009Get full text
Get full text
Conference or Workshop Item -
19
-
20
CUCKOO SEARCH OPTIMIZATION NEURAL NETWORK MODELS FOR FORECASTING LONG-TERM PRECIPITATION
Published 2024“…This paper presents the application of a novel optimization algorithm, Cuckoo Search Optimization (CSO), to train feedforward neural networks to forecast long-term precipitation using three climate models, namely HadCM3, ECHAM5, and HadGEM3‐RA. …”
Get full text
Get full text
Get full text
Book Chapter
