Search Results - (( parameter location model algorithm ) OR ( java adaptation optimization algorithm ))

Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement by Karami, Mahdi

“…The genetic algorithm technique is explained and the real number representation of genetic algorithm is modeled. …”
Get full text
Get full text

Development of integrated models for distribution network design of perishable products by Firoozi, Zahra

“…Hence, the inventory-location model is formulated for fixed-lifetime perishable product once by an integrated model and another time by a decoupled model. …”
Get full text
Get full text

Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data by Rostami, Mohammad

“…Here, we have exhaustedly studied all the possible priors for location and scale parameters and come out with a few suggestions for the prior selection of a Gumbel model. …”
Get full text
Get full text

Location determination using radio frequency RSSI and deterministic algorithm by Hussin, A.G., Hassan, S.F., Zubairi, Y.Z., Zaharim, A., Sopian, K.

Get full text
Get full text

Modified harmony search algorithm for location-inventory-routing problem in supply chain network design with product returns by Misni, F., Lee, L. S.

“…This problem is solved by a proposed Modified Harmony Search (MHS) algorithm with dynamic parameter setting and multi-local neighbourhood search techniques. …”
Get full text
Get full text
Get full text

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration by Abdullah S.S., Malek M.A., Abdullah N.S., Kisi O., Yap K.S.

Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine by Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin

“…Included are calculation of MLNN topology and parameters and calculation of model confidence intervals (CI) based on two assumptions –whole weight and bias parameters, and last layer parameters. …”
Get full text

First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

“…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
Get full text
Get full text
Get full text

Enhancing reservoir simulation models with genetic algorithm optimized neural networks across diverse climatic zones / Saad Mawlood Saab by Saad Mawlood , Saab

“…The optimizer algorithm (i.e., GA) determines the optimal input variables and internal parameters in the prediction models. …”
Get full text
Get full text
Get full text

Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

“…Kallel et al. ( 2002 ) proposed utilizing the bootstrap technique for model selection. They used the classical bootstrap method to estimate the bootstrap location and the scale parameters based on calculating the Mean of Squared Residual (MSR). …”
Get full text
Get full text

Particle filter approach for tracking indoor user location using IEEE 802.11 signals by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Latiff , N. H. M.

“…This approach shows a promising result in tracking user location indoor using particle filter algorithm.…”
Get full text
Get full text
Get full text

Hand, Foot and Mouth Disease (HFMD)'s Hotspot Identification using Bipartite Network Model by Nor Shamira, Sabri

“…Parameter significance analysis was carried out to determine the relative importance of each parameter and also to produce an optimal performance of the network model. …”
Get full text
Get full text

Investigation of impedance-based fault location techniques in power system network / Tan Feng Jie by Tan, Feng Jie

“…This research project presents the investigation on the effect of the 5 systems parameters on the accuracy of the 4 one-ended impedance-based fault location methods. 5 case studies represent the effect of 5 system parameters are simulated using the transmission network model developed in MATLAB SIMULINK. …”
Get full text
Get full text
Get full text

Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

“…As the mixed integer nonlinear model of the problem was complicated to solve using exact methods, several meta-heuristic algorithms were employed in to optimize the models under investigation. …”
Get full text
Get full text
Get full text

Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090) by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Md. Latiff , Nurul Hidayati

“…This approach shows a promising result in tracking user location indoor using particle filter algorithm.…”
Get full text
Get full text
Get full text
Get full text

Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system by Nasir, Ahmad Nor Kasruddin, Ahmad, Mohd Ashraf, Raja Ismail, R. M.T., Muhammad Hamka, Embong

“…The developed algorithms are formulated based on a spiral model approach and a sine model approach. …”
Get full text
Get full text

A variable-capacity-based fuzzy random facility location problem with VaR objective by Wang, Shuming, Watada, Junzo, Shamsul Bahar, Yaakob, Prof. Madya

Get full text

Predicting sea levels using ML algorithms in selected locations along coastal Malaysia by Hazrin N.A, Chong K.L, Huang Y.F, Ahmed A.N, Ng J.L, Koo C.H, Tan K.W, Sherif M, El-shafie A

“…Data compiled from 1985 to 2018 was utilized for training and testing the developed models. An assessment of the multiple statistics-driven regression algorithms resulted such that each tested location was associated with a particular preferred model. …”

Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines by Aker, Elhadi Emhemed Alhaaj Ammar

“…The earlier intelligent approach presented an offline approach using only faulty line parameters for intelligent classifier model training to detect, classify and locate faults. …”
Get full text
Get full text