Search Results - (( java implementation bat algorithm ) OR ( using risk using algorithm ))

Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques by Salem S. M. Khalifa

“…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”

Risk assessment for safety and health algorithm for building construction in Oman by Al-Anbari, Saud Said

“…Risk assessment matrices are widely used to evaluate risks related to such hazards. …”
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A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification by Suihai, Chen, Chih How, Bong, Po Chan, Chiu

“…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
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Early diabetes risk prediction using Ant Colony Optimization algorithm / Nur Aisyatul Husna Ahmad Yusri and Rizauddin Saian by Ahmad Yusri, Nur Aisyatul Husna, Saian, Rizauddin

“…Therefore, this study has developed a classification model for predicting early diabetes risk using an Ant Colony Optimization (ACO) algorithm. …”
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Credit scoring for Cooperative of financial services using logistic regression estimated by genetic algorithm by Mustafa, Mamat, Sukono, Firman, Asep, Sholahuddin

“…In this paper the analysis of credit scoring is done using logistic regression model, which is estimated using genetic algorithms. …”
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

“…Further, it focuses on the development of various forms of local risk prediction models and simple heart risk scores using non-laboratory features and machine learning (ML) algorithms. …”
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Slope inspection system using image processed by machine learning algorithm to determine risk of slope failure by Mat Shukor, S. H., Abdul Hamid, Syamsul Bahrin, Kasim, N., Ab. Moin, Z.

“…The algorithm assesses the level of risk based on trained supervised images identified by experts in the field. …”
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Managing risk in production scheduling under uncertain disruption by Sarker, Ruhul, Essam, Daryl, Kamrul Hasan, S.M., Karim, A.N. Mustafizul

“…In this paper, we have studied JSPs under sudden machine breakdown scenarios that introduce a risk of not completing the jobs on time. We have first solved JSPs using an improved memetic algorithm and extended the algorithm to deal with the disruption situations, and then developed a simulation model to analyze the risk of using a job order and delivery scenario. …”
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The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people by Ahmad, Rabiah, Bath, Peter A

“…This article describes ongoing research to overcome these limitations through the CoRGA program, which combines Cox regression with a genetic algorithm for the variable selection process. CoRGA was used to try and identify the best combination of risk factors for 4-year all-cause mortality. …”
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Clustering of Indonesian forest fires using self organizing maps by Selamat, Ali, Selamat, Md. Hafiz

“…The SOM algorithm has been used to cluster and visualize the map of the hot spots locations into four groups based on the relative similarity of the risks of forest fires on each of the regions such as danger level, low level, high risks, and low risks. …”
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Slope inspection system: using image processed by machine learning algorithm to determine risk of slope failure by Mat Shukor, Sabril Haziq, Syamsul Bahrin, Abdul Hamid, Kasim, Norhidayu, Ab. Moin, Zuraidah

“…The algorithm assesses the level of risk based on trained supervised images identified by experts in the field. …”
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Construction and optimization of financial risk management model based on financial data and text data influencing information system by Hui Huang, Thien Sang Lim

“…Qualitative textual informationis used in financial risk assessment to improve risk prediction algorithms. …”
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Landslide risk zoning using support vector machine algorithm by Ghiasi V., Pauzi N.I.M., Karimi S., Yousefi M.

“…The weighted maps were then combined using the support vector machine algorithm. For the training and testing of the machine, 81 slippery ground points and 81 non-sliding points were used. …”

Understanding the causes and effects of low-risk management: implementation in projects using the DEMATEL algorithm by Lee, Chia Kuang, Wong, Wen Nee, Nurhaizan, Mohd Zainudin, Ahmad Huzaimi, Abd Jamil

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Multi-Objective Portfolio Optimization Strategy using the SPEA-II Algorithm by Azarberahman, Alireza, Tohidinia, Malihe, Aliakbarzadeh, Hossein

“…The study highlights that the SPEA-II algorithm can serve as an effective and efficient method for stock portfolio selection and optimization, helping investors to identify portfolios with lower risk and higher return…”
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Algorithm comparison for data mining classification: assessing bank customer credit scoring default risk by Elaf Adel Abbas, Nisreen Abbas Hussein

“…Rating consumer credit risk involves assessing credit application risks. …”
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Credit Risk Assessment in P2P Lending Using LightGBM and Particle Swarm Optimization by Dasril, Yosza, Muslim, Much Aziz, Al Hakim, M. Faris, Jumanto, Jumanto, Prasetiyo, Budi

“…Machine learning algorithm such as LightGBM can be used to evaluate credit risk. …”
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Modeling forest fires risk using spatial decision tree by Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin, Sitanggang, Imas Sukaesih

“…This paper presents our initial work in developing a spatial decision tree using the spatial ID3 algorithm and Spatial Join Index applied in the SCART (Spatial Classification and Regression Trees) algorithm. …”
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An Empirical Study on the Construction of A Non-Convex Risk Parity Portfolio using a Genetic Algorithm by Kusumawati, Rosita, Rosadi, Dedi, Abdurakhman, Abdurakhman

“…This study addresses these challenges by proposing the Genetic Algorithm (GA) and comparing its effectiveness against Successive Convex for RIsk Parity (SCRIP) to solve the non-convex RP portfolio. …”
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