Academic literature on the topic 'Random Forest Regression and ANN Algorithm'
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Journal articles on the topic "Random Forest Regression and ANN Algorithm"
Kaur, Amanpreet, Vansh Sachdeva, Abhijot Singh, Ayush Jaiswal, Niyati Aggrawal, and Archana Purwar. "Performance Analysis of Different Machine Learning Algorithms on Credit Card Fraud Detection." JOURNAL OF INTERNATIONAL ACADEMY OF PHYSICAL SCIENCES 27, no. 03 (2023): 295–303. http://dx.doi.org/10.61294/jiaps2023.2739.
Full textHan, Nam-Gyu, and Bong-Hyun Kim. "Configuration of Efficient Returning Farmers Data Set for Algorithms Validation based on ANN and Random Forest." Webology 19, no. 1 (2022): 4428–43. http://dx.doi.org/10.14704/web/v19i1/web19292.
Full textTran, Toai Kim, Roman Senkerik, Hahn Thi Xuan Vo, et al. "Initial Coin Offering Prediction Comparison Using Ridge Regression, Artificial Neural Network, Random Forest Regression, and Hybrid ANN-Ridge." MENDEL 29, no. 2 (2023): 283–94. http://dx.doi.org/10.13164/mendel.2023.2.283.
Full textSena, I. Gede Wiarta, and Andi W. R. Emanuel. "MOBILE LEGEND GAME PREDICTION USING MACHINE LEARNING REGRESSION METHOD." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 9, no. 2 (2023): 221–30. http://dx.doi.org/10.33330/jurteksi.v9i2.1866.
Full textFondaj, Jakup, Mentor Hamiti, Samedin Krrabaj, Xhemal Zenuni, and Jaumin Ajdari. "Comparison of Predictive Algorithms for IOT Smart Agriculture Sensor Data." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 21 (2023): 65–78. http://dx.doi.org/10.3991/ijim.v17i21.44143.
Full textShi, Yuanyuan, Junyu Zhao, Xianchong Song, et al. "Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm." PLOS ONE 16, no. 6 (2021): e0253385. http://dx.doi.org/10.1371/journal.pone.0253385.
Full textHarshit, Mathur, and Surana Aditya. "Glass Classification based on Machine Learning Algorithms." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 11 (2020): 139–42. https://doi.org/10.35940/ijitee.H6819.0991120.
Full textVishnuvardhan, T., and A. Rama. "Comparison of Accuracy Rate in Prediction of Cardiovascular Disease using Random Forest with Logistic Regression." CARDIOMETRY, no. 25 (February 14, 2023): 1526–31. http://dx.doi.org/10.18137/cardiometry.2022.25.15261531.
Full textKerdprasop, Kittisak, Nittaya Kerdprasop, and Paradee Chuaybamroong. "Deep Learning and Machine Learning Models to Predict Energy Consumption in Steel Industry." International Journal of Machine Learning 13, no. 4 (2023): 142–45. http://dx.doi.org/10.18178/ijml.2023.13.4.1142.
Full textFaurina, Ruvita, M. Jumli Gazali, and Icha Dwi Aprilia Herani. "OPTIMIZATION OF DISEASE PREDICTION ACCURACY THROUGH ARTIFICIAL NEURAL NETWORK (ANN) ALGORITHMS IN DIAGNESE APPLICATION." Jurnal Teknik Informatika (Jutif) 5, no. 2 (2024): 339–47. https://doi.org/10.52436/1.jutif.2024.5.2.1182.
Full textDissertations / Theses on the topic "Random Forest Regression and ANN Algorithm"
Das, Abhishek. "Analyses of Crash Occurence and Injury Severities on Multi Lane Highways Using Machine Learning Algorithms." Master's thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2576.
Full textBellmann, Hector G. "Categorization of Tonal Music Styles: A Quantitative Investigation." Thesis, Griffith University, 2012. http://hdl.handle.net/10072/366215.
Full textGranström, Daria, and Johan Abrahamsson. "Loan Default Prediction using Supervised Machine Learning Algorithms." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252312.
Full textEkeberg, Lukas, and Alexander Fahnehjelm. "Maskininlärning som verktyg för att extrahera information om attribut kring bostadsannonser i syfte att maximera försäljningspris." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240401.
Full textSonnert, Adrian. "Predicting inter-frequency measurements in an LTE network using supervised machine learning : a comparative study of learning algorithms and data processing techniques." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148553.
Full textJohansson, David. "Price Prediction of Vinyl Records Using Machine Learning Algorithms." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96464.
Full textDuncan, Andrew Paul. "The analysis and application of artificial neural networks for early warning systems in hydrology and the environment." Thesis, University of Exeter, 2014. http://hdl.handle.net/10871/17569.
Full textChen, Carla Chia-Ming. "Bayesian methodology for genetics of complex diseases." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/43357/1/Carla_Chen_Thesis.pdf.
Full textBook chapters on the topic "Random Forest Regression and ANN Algorithm"
Yadav, Tushar, Nabha Varshey, and Shanu Khare. "Random Forest Algorithm, Support Vector Machine for Regression Analysis." In Computational Intelligence and Mathematical Applications. CRC Press, 2024. http://dx.doi.org/10.1201/9781003534112-6.
Full textAnwar, Suzan, Arthur Rahming, Mikea Fernander, Otito Udedibor, and Shereen Ali. "Breast Cancer Diagnosing System: Using a Rough Set-Ensemble Classifier Approach." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88220-3_2.
Full textYang, Kaifeng, and Michael Affenzeller. "Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27250-9_13.
Full textMao, Mohan. "A Comparative Study of Random Forest Regression for Predicting House Prices Using." In Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023). Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-370-2_63.
Full textPriya, Nallabothu Vamsi, and S. TamilSelvan. "Comparison of improved XGBoost algorithm with random forest regression to determine the prediction of the mobile price." In Applications of Mathematics in Science and Technology. CRC Press, 2025. https://doi.org/10.1201/9781003606659-120.
Full textGirish, Maturi Sai, and P. Sriramya. "Effective prediction of IPL outcome matches to improve accuracy using novel random forest algorithm compared over logistic regression." In Applications of Mathematics in Science and Technology. CRC Press, 2025. https://doi.org/10.1201/9781003606659-117.
Full textRakesh, G., and J. Chenni Kumaran. "A novel logistic regression algorithm compared with the random forest algorithm to improve the accuracy of predicting crashes in automated driving system cars." In Applications of Mathematics in Science and Technology. CRC Press, 2025. https://doi.org/10.1201/9781003606659-109.
Full textArslantas, Mustafa Kemal, Tunc Asuroglu, Reyhan Arslantas, et al. "Using Machine Learning Methods to Predict the Lactate Trend of Sepsis Patients in the ICU." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59091-7_1.
Full textEl Fallah, Saad, Jaouad Kharbach, Abdellah Rezzouk, and Mohammed Ouazzani Jamil. "Robust State of Charge Estimation and Simulation of Lithium-Ion Batteries Using Deep Neural Network and Optimized Random Forest Regression Algorithm." In Artificial Intelligence and Industrial Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43520-1_4.
Full textPandya, Mayur, and Jayaraman Valadi. "Random Forest Classification and Regression Models for Literacy Data." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0332-8_18.
Full textConference papers on the topic "Random Forest Regression and ANN Algorithm"
Setiyanti, Michelle, Genrawan Hoendarto, and Jimmy Tjen. "Enhancing Water Potability Identification through Random Forest Regression and Genetic Algorithm Optimization." In INTERNATIONAL CONFERENCE ON APPLIED TECHNOLOGY 2024. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-2fikqf.
Full textDeng, Yawen. "Predicting and Analyzing Match Fluctuations Based on Random Forest Regression Algorithm." In 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2024. http://dx.doi.org/10.1109/icipca61593.2024.10709310.
Full textCharan, K. Sai, Supraja Eduru, Jaishree R. Devaru, and H. B. Divyashree. "Diabetes Prediction with Random Forest - Logistic Regression algorithm using voting classifier." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11035945.
Full textWang, Pengbo. "Prediction of the Groundwater Levels Based on Random Forest Regression Algorithm." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10869277.
Full textRastogi, Stuti, Simmi Deol, Anju Gera, Pawan Kumar Singh, Rupa Rani Sharma, and Kuldeep Singh. "Prediction of diabetes disease using Adaboost, Random Forest Algorithm and Logistic Regression." In 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE). IEEE, 2024. https://doi.org/10.1109/aece62803.2024.10911780.
Full textRuuhwan, Rikza Fauzan Nuradiah, Aso Sudiarjo, Dhema Yunautama, Gunawansyah, and Edi Andriansyah. "A Comparative Analysis of Logistic Regression and Random Forest Algorithm for Cyber Attacks Classification." In 2024 18th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEE, 2024. https://doi.org/10.1109/tssa63730.2024.10863823.
Full textYang, Xingliang, Yujie Wang, Zhendong Sun, and Zonghai Chen. "Degradation Prediction for Fuel Cell Based on Random Forest Regression and Grey Wolf Optimizer Algorithm." In 2024 The 9th International Conference on Power and Renewable Energy (ICPRE). IEEE, 2024. https://doi.org/10.1109/icpre62586.2024.10768312.
Full textSrivastava, Shraddha, Ishita Sharma, Harshita Negi, and Khushi Singh. "Advancements in Heart Disease Prediction: A Comprehensive Survey of Logistic Regression and Feature Engineering Techniques Enhanced by Random Forest Algorithm." In 2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP). IEEE, 2024. http://dx.doi.org/10.1109/innocomp63224.2024.00052.
Full textRosine, Germanicus, and El-Hassani Othman. "Machine Learning for Predicting DataCube Atomic Force Microscope (AFM)—MultiDAT-AFM." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0351.
Full textPandey, Ritesh, Maneesh Upadhya, and Manvendra Singh. "Rainfall Prediction Using Logistic Regression and Random Forest Algorithm." In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT). IEEE, 2024. http://dx.doi.org/10.1109/ic2pct60090.2024.10486681.
Full textReports on the topic "Random Forest Regression and ANN Algorithm"
Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.
Full textRossi, Jose Luiz, Carlos Piccioni, Marina Rossi, and Daniel Cuajeiro. Brazilian Exchange Rate Forecasting in High Frequency. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004488.
Full textLiu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2102.
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