Search Results - feed-forward ((pollination algorithm) OR (selection algorithm))

PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM by ABDALLA, OSMAN AHMED

“…ANN can be categorized into three main types: single layer, recurrent network and multilayer feed-forward network. In multilayer feed-forward ANN, the actual performance is highly dependent on the selection of architecture and training parameters. …”
Get full text
Get full text

Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network by Sefidgar, Seyed Mohammad Hossein

“…First, the best set of structures for feed forward neural network were found by multi objective parallel genetic algorithm. …”
Get full text
Get full text

A Hybrid Neural Network-Based Improved PSO Algorithm for Gas Turbine Emissions Prediction by Yousif S.T., Ismail F.B., Al-Bazi A.

“…The PSO adopts a unique random number selection strategy, incorporating the K-Nearest Neighbor (KNN) algorithm to reduce prediction errors. …”

Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

“…In this paper, the energy and mean features are been selected. The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). …”
Get full text
Get full text

Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

“…In this paper, the energy and mean features are been selected. The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). …”
Get full text
Get full text

Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh by Seef Saadi , Fiyadh

“…The best result achieved for Pb2+ removal using ANFIS algorithm is with RE 7.078%. For As3+ removal using different adsorbents, two algorithms were applied for the modelling, the feed-forward back-propagation maximum RE achieved is 5.97% while, the NARX algorithm achieved better accuracy with maximum RE of 5.79%. …”
Get full text
Get full text
Get full text

Skin Hydration And Transepidermal Water Loss Measurement Using Vis/nir Spectroscopy And Feed-forward Backpropagation Neural Network by Tan, Chun Ho

“…In this study, the prediction models were built using simple linear regression, multiple regression analysis, and feed-forward backpropagation neural network (FFBPNN) with gradient descent algorithm. …”
Get full text
Get full text

Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus by Darus, Zamzuhairi

“…This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. A multilayer feed-forward artificial neural network (ANN) with evolution programming learning algorithm for calculation of voltage stability margins (VSM). …”
Get full text
Get full text

Optimisation of neural network with simultaneous feature selection and network prunning using evolutionary algorithm by WK Wong, Ali Chekima, Wong, Kii Ing, Law, Kah Haw, Lee, Vincent

“…For feed forward network, most of the optimisation are merely on the Weights and the bias selection which is generally known as conventional Neuroevolution. …”
Get full text
Get full text
Get full text
Get full text

Wind power prediction using Artificial Neural Network: article by Edik, Septony

“…The performance of a network will be determined by its convergence capability, and only the network with the best performance will be selected.…”
Get full text
Get full text

Bacteria identification via Artificial Neural Network based-on Bergey’s manual by Ruhaimi, Amirul Hafiiz

“…Levenberg Marquardt algorithm based Feed-forward backpropagation with Multilayer perceptron type of ANN was used in the training and learning sessions of the ANN development in order to obtain high accuracy simulation results within short period of time.…”
Get full text
Get full text

Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

“…The algorithm utilizes process simulator to develop plant model in order to conduct sensitivity analysis and provide dynamic data on selected fault. …”
Get full text
Get full text

Development of artificial neural network models for predicting lipid profile using smartMF electrical parameters / Ahmad Zulkhairi Zulkefli by Ahmad Zulkhairi , Zulkefli

“…For TG, the LM algorithm with a testing accuracy of 76.7%, sensitivity of 28.6% and specificity of 91.3% was selected. …”
Get full text
Get full text
Get full text

Integration of artificial neural network and expert system for material classification of natural fibre reinforced polymer composites by Ahmed Ali, Basheer Ahmed, Salit, Mohd Sapuan, Zainudin, Edi Syams, Othman, Mohamed

“…Levenberg-Marquardt training algorithm, which provides faster rate of convergence, is applied for training the feed forward network. …”
Get full text
Get full text
Get full text

Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Several algorithms, methods and spreadsheets are being proposed by various researchers in this field to improve materials selection. …”
Get full text
Get full text

Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

“…Therefore, this research proposed an improved algorithm known as ELM which is an extension of Feed Forward Neural Network that utilize the Moore Penrose Pseudoinver matrix that gain the optimal weights of neural network architecture. …”
Get full text
Get full text

CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING by ISLAM, BADAR UL ISLAM

“…The correlation analysis is used for the identification and selection of the most influential input variable vector (IVV). …”
Get full text
Get full text

Power system security assessment using artificial neural network: article / Mohd Fathi Zakaria by Zakaria, Mohd Fathi

“…This paper presented an application of Artificial Neural Network (ANN) in steady state stability classifications. A multi layer feed forward ANN with Back Propagation Network algorithm is proposed in determining the steady state stability classifications. …”
Get full text
Get full text

Wind power prediction using Artificial Neural Network by Edik, Septony

“…In order to get an accurate wind power prediction, several network structures, training algorithms and transfer functions have been developed and tested with different sets of data. …”
Get full text
Get full text

Classification of Agarwood using ANN by M. S., Najib, N. A., Mohd Ali, M. N., Mat Arip, M., Abd Jalil, M. N., Taib

“…The network developed based on three layers feed forward network and the back propagation learning algorithm was used in executing the network training. …”
Get full text
Get full text