A review on weight initialization strategies for neural networks
Over the past few years, neural networks have exhibited remarkable results for various
applications in machine learning and computer vision. Weight initialization is a significant …
applications in machine learning and computer vision. Weight initialization is a significant …
Salp swarm algorithm: theory, literature review, and application in extreme learning machines
Abstract Salp Swarm Algorithm (SSA) is a recent metaheuristic inspired by the swarming
behavior of salps in oceans. SSA has demonstrated its efficiency in various applications …
behavior of salps in oceans. SSA has demonstrated its efficiency in various applications …
Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems
M Abdel-Basset, R Mohamed, M Jameel… - Knowledge-Based …, 2023 - Elsevier
This work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Red fox optimization algorithm
D Połap, M Woźniak - Expert Systems with Applications, 2021 - Elsevier
Fox is very popular in various regions of the Globe, where representatives of this kind can be
found in Europe, Asia, North America, and even in some arctic regions. The way this …
found in Europe, Asia, North America, and even in some arctic regions. The way this …
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
T Hu, M Khishe, M Mohammadi, GR Parvizi… - … Signal Processing and …, 2021 - Elsevier
Real-time detection of COVID-19 using radiological images has gained priority due to the
increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two …
increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two …
An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm
This paper presents a new approach for damage detection in structures by applying a
flexible combination based on an artificial neural network (ANN) and cuckoo search (CS) …
flexible combination based on an artificial neural network (ANN) and cuckoo search (CS) …
A comparative performance assessment of optimized multilevel ensemble learning model with existing classifier models
To predict the class level of any classification problem, predictive models are used and
mostly a single predictive model is built to predict the class level of any classification …
mostly a single predictive model is built to predict the class level of any classification …
[HTML][HTML] A Random Forest based predictor for medical data classification using feature ranking
Medical data classification is considered to be a challenging task in the field of medical
informatics. Although many works have been reported in the literature, there is still scope for …
informatics. Although many works have been reported in the literature, there is still scope for …
Retracted article: evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray …
C Wu, M Khishe, M Mohammadi, SH Taher Karim… - Soft Computing, 2023 - Springer
The COVID19 pandemic globally and significantly has affected the life and health of many
communities. The early detection of infected patients is effective in fighting COVID19. Using …
communities. The early detection of infected patients is effective in fighting COVID19. Using …
Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data
B Zhu, Y Feng, D Gong, S Jiang, L Zhao… - Computers and Electronics …, 2020 - Elsevier
Accurate prediction of reference evapotranspiration (ET o) is pivotal to the determination of
crop water requirement and irrigation scheduling in agriculture as well as water resources …
crop water requirement and irrigation scheduling in agriculture as well as water resources …