A review of models for water level forecasting based on machine learning
WJ Wee, NB Zaini, AN Ahmed, A El-Shafie - Earth Science Informatics, 2021 - Springer
It is crucial to keep an eye on the water levels in reservoirs in order for them to perform at
peak, as they are one of the, if not, the most vital part in water resource management. The …
peak, as they are one of the, if not, the most vital part in water resource management. The …
Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models
M Shahvaroughi Farahani, SH Razavi Hajiagha - Soft computing, 2021 - Springer
Today, stock market has important function and it can be a place as a measure of economic
position. People can earn a lot of money and return by investing their money in the stock …
position. People can earn a lot of money and return by investing their money in the stock …
Artificial gravitational cuckoo search algorithm along with particle bee optimized associative memory neural network for feature selection in heart disease classification
V Jayaraman, HP Sultana - Journal of Ambient Intelligence and …, 2019 - Springer
Now-a-days heart disease is one of the serious disease because most of the people affected
by this disease that leads to create death. Due to the serious risk of this heart disease, it has …
by this disease that leads to create death. Due to the serious risk of this heart disease, it has …
Classification of heart disease using adaptive Harris hawk optimization-based clustering algorithm and enhanced deep genetic algorithm
R Balamurugan, S Ratheesh, YM Venila - Soft computing, 2022 - Springer
Heart disease is the most life-threatening disease globally, affecting human life very
critically. On-time and precise diagnosis of heart disease is vital for the prevention and …
critically. On-time and precise diagnosis of heart disease is vital for the prevention and …
Adaptation and hybridization in nature-inspired algorithms
The aim of this chapter is to familiarize readers with the basics of adaptation and
hybridization in nature-inspired algorithms as necessary for understanding the main …
hybridization in nature-inspired algorithms as necessary for understanding the main …
Annealing ant colony optimization with mutation operator for solving TSP
AM Mohsen - Computational intelligence and neuroscience, 2016 - Wiley Online Library
Ant Colony Optimization (ACO) has been successfully applied to solve a wide range of
combinatorial optimization problems such as minimum spanning tree, traveling salesman …
combinatorial optimization problems such as minimum spanning tree, traveling salesman …
Training feedforward neural network using enhanced Black hole algorithm: a case study on COVID-19 related ACE2 gene expression classification
The aim of this paper is twofold. First, black hole algorithm (BHA) is proposed as a new
training algorithm for feedforward neural networks (FNNs), since most traditional and …
training algorithm for feedforward neural networks (FNNs), since most traditional and …
Weight optimization in recurrent neural networks with hybrid metaheuristic Cuckoo search techniques for data classification
Recurrent neural network (RNN) has been widely used as a tool in the data classification.
This network can be educated with gradient descent back propagation. However, traditional …
This network can be educated with gradient descent back propagation. However, traditional …
An alternative approach to neural network training based on hybrid bio meta-heuristic algorithm
Metaheuristic algorithms are popular techniques used to solve several optimization
problems. Among the key algorithms, cuckoo search (CS) is a comparatively novel and …
problems. Among the key algorithms, cuckoo search (CS) is a comparatively novel and …
RETRACTED ARTICLE: High-performance in classification of heart disease using advanced supercomputing technique with cluster-based enhanced deep genetic …
AA Bakhsh - The Journal of Supercomputing, 2021 - Springer
In the world, cardiovascular disease is a common, debilitating disease that affects human
lives in many different ways. It is important to detect heart disease effectively and reliably in …
lives in many different ways. It is important to detect heart disease effectively and reliably in …