封面图片

The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction

Balancing; Forecasting; Stream flow; Support vector machines; Exploitation and explorations; Machine learning models; Optimisations; Optimization algorithms; Prediction modelling; Simulated annealing integrated with mayfly optimization; Streamflow prediction; Support vector regression models; Suppor...

Saved in:

书目详细资料
Main Authors:	Adnan R.M., Kisi O., Mostafa R.R., Ahmed A.N., El-Shafie A.
其他作者:	56689592000
格式:	Article
出版:	Taylor and Francis Ltd. 2023
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
由: Adnan, Rana Muhammad, et al.
出版: (2022)

Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
由: Essam Y., et al.
出版: (2023)

Streamflow forecasting using least-squares support vector machines
由: Shabri, Ani, et al.
出版: (2012)

Streamflow forecasting at ungaged sites using support vector machines
由: Zakaria, Zaurahtul Amani, et al.
出版: (2012)

Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
由: Essam, Yusuf, et al.
出版: (2022)

Development of new machine learning model for streamflow prediction: case studies in Pakistan
由: Muhammad Adnan, Rana, et al.
出版: (2022)

Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
由: Tikhamarine Y., et al.
出版: (2023)

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
由: Yaseen, Z.M., et al.
出版: (2017)

Finger-vein classification using granular support vector machine
由: Selamat, A., et al.
出版: (2020)

Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
由: Rezaie-Balf, Mohammad, et al.
出版: (2019)

Extending the decomposition algorithm for support vector machines training
由: Zaki, N,M., et al.
出版: (2003)

A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
由: Ahmed A.N., et al.
出版: (2023)

Kernel methods and support vector machines for handwriting recognition
由: Ahmad A.R., et al.
出版: (2023)

Overview of support vector machine in modeling machining performances
由: Mat Deris, A., et al.
出版: (2011)

Covariance matrix adaptation evolution strategy for improving machine learning approaches in streamflow prediction
由: Ikram, Rana Muhammad Adnan, et al.
出版: (2022)

Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster
由: Afan H.A., et al.
出版: (2023)

An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration
由: Ehteram, M., et al.
出版: (2020)

An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration
由: Ehteram M., et al.
出版: (2023)

A new soft computing model for daily streamflow forecasting
由: Sammen S.S., et al.
出版: (2023)

Improving streamflow prediction using a new hybrid elm model combined with hybrid particle swarm optimization and grey wolf optimization
由: Adnan, Rana Muhammad, et al.
出版: (2021)

Streamflow classification by employing various machine learning models for peninsular Malaysia
由: AlDahoul N., et al.
出版: (2024)

A new soft computing model for daily streamflow forecasting
由: Sammen, Saad Sh., et al.
出版: (2021)

Online handwriting recognition using support vector machine
由: Ahmad A.R., et al.
出版: (2023)

A comparison of quadratic programming solvers in support vector machines training
由: Zaki, N. M., et al.
出版: (2003)

Fault Detection of Bearing using Support Vector Machine-SVM
由: Borhana A.A., et al.
出版: (2023)

Classification of degraded polymer insulator using support vector machine
由: Din, A., et al.
出版: (2021)

Classification red blood cells using support vector machine
由: Akrimi J.A., et al.
出版: (2023)

Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
由: Tikhamarine, Yazid, et al.
出版: (2020)

Support vector machine for face emotion detection on real time basis
由: Bouhabba, El Mehdi, et al.
出版: (2011)

Efficient parameter selection of support vector machines
由: Ismael, Kamarulafizam, et al.
出版: (2008)

CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
由: Baharum A., et al.
出版: (2023)

Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow
由: Osman A., et al.
出版: (2023)

A smart network intrusion detection system based on network data analyzer and support vector machine
由: Babatunde O.S., et al.
出版: (2023)

The employment of support vector machine to classify high and low performance archers based on bio-physiological variables
由: Taha, Z., et al.
出版: (2018)

Seasonal changes in mayfly communities and abundance in relation to water physicochemistry in two rivers at different elevations in Northern Peninsular Malaysia
由: Suhaila, Abdul Hamid, et al.
出版: (2011)

A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
由: Ahmed, Ali Najah, et al.
出版: (2021)

Larval instars determination and secondary production of the mayfly Baetis idei (Ephemeroptera: Baetidae) from rivers in the Bukit Merah catchment area, Perak
由: Siti Hamidah I.,, et al.
出版: (2017)

Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
由: Wei Y., et al.
出版: (2024)

Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
由: Thieu, Nguyen Van, et al.
出版: (2024)

Utilization of filter feature selection with support vector machine for tumours classification
由: Tengku Mazlin, T. A. H., et al.
出版: (2020)