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https://www.researchgate.net/publication/251207869_Artificial_Neural_Networks_in_Decision_Support_Systems
In practice, in the case of unstructured or poorly structured tasks, it may be reasonable to use artificial neural networks in decision support systems [9]. One of the main advantages of ...
https://www.sciencedirect.com/science/article/pii/S0957417415002122
We developed a corresponding learning algorithm for the interval neural networks. The advantages of using a genetic algorithm (GA) to select the most significant inputs are shown. We justify the use of general-purpose computing on graphics processing units (GPGPU) to achieve high-speed calculations with the decision support system in question.Cited by: 14
https://link.springer.com/chapter/10.1007%2F978-3-540-48713-5_26
This paper introduces the concepts of neural networks and presents an overview of the applications of neural networks in decision support systems (DSS). Neural networks can be viewed as supporting at least two types of DSS: data driven and model-driven.Cited by: 5
https://pdfs.semanticscholar.org/6373/331fb10a7787003e7140198fa841e3736f72.pdf
system. In this paper, a Decision Tree-Neuro Based model was developed to handle loan granting decision support system and clinical decision support system(Eye Disease Diagnosis) which are two important decision problems that requires delicate care. The system uses an integration of Decision Tree and Artificial Neural Networks with a hybrid of ...
https://www.sciencedirect.com/science/article/pii/S1568494619302571
Online clinical decision support system using optimal deep neural networks. ... Artificial Neural Networks (ANN) is a computational intelligence technique stimulated from the network of biological neurons for resolving prediction problems, natural language processing and drug identification and so on. A DNN is a neural network (NN) with a ...Cited by: 1
http://www.ijcsi.org/papers/IJCSI-9-2-2-114-122.pdf
Decision Support System using Artificial Neural Network for Managing Product Innovation Noppakorn Klintong1, Asso.Prof. Pakpachong Vadhanasindhu, D.B.A.2 and Assist.Prof. Natcha Thawesaengskulthai, Ph.D.3 1 Technopreneurship and Innovation Management Program, Graduate School, Chulalongkorn University Bangkok, 10330, Thailand 2 Faculty of Commerce and …Cited by: 2
http://www.ijcsit.com/docs/Volume%205/vol5issue06/ijcsit2014050607.pdf
Optimal Decision Support System Using Multilayer Neural Networks for Incinerator Control Prakash G L∗ Samson Saju†, Snehil Mitra† and Vedant Sharma† ∗ Assistant Professor, Department of Computer science and Engineering, UPES, Dehradun, † M.Tech Artificial Intelligence and Artificial Neural Network, Department of Computer science and Engineering,
https://pdfs.semanticscholar.org/dff9/1caa134ec8c80c83e33823883860b0257869.pdf
efficient and reliable medical Decision Support System to support yet and still increasingly complicated diagnosis decision process. Hence soft computing methods such as neural networks have shown great potential to be applied in the development of medical Decision Support System for Heart Diseases [2].
https://www.iiste.org/Journals/index.php/CEIS/article/view/6107
Decision Support System Using Decision Tree and Neural Networks Decision making in a complex and dynamically changing environment of the present day demands a new techniques of computational intelligence for building equally an adaptive, hybrid intelligent decision support system.Cited by: 1
https://www.researchgate.net/publication/281855538_A_Medical_Decision_Support_System_for_ENT_Disease_Diagnosis_using_Artificial_Neural_Networks
We have developed a Medical Decision Support System (MDSS) for the diagnosis of three ENT diseases using Artificial Neural Network (ANN), these three diseases are: chronic infection rhinosinusitis ...
https://www.semanticscholar.org/paper/Decision-Support-System-Using-Decision-Tree-and-Kabari-Nwachukwu/b5e1946a4ce559a495be802cd9c844db43110aac
Decision making in a complex and dynamically changing environment of the present day demands a new techniques of computational intelligence for building equally an adaptive, hybrid intelligent decision support system. In this paper, a Decision Tree-Neuro Based model was developed to handle loan granting decision support system and clinical decision support system…
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.306.8912&rep=rep1&type=pdf
Feed forward neural network (FFNN) is widely used for the Decision Support System for Flood Crisis Management using Artificial Neural Network Muhammad Aqil, Ichiro Kita, Akira Yano, and Nishiyama Soichi R World Academy of Science, Engineering and Technology 15 2008 1028
https://issuu.com/alexanderdecker/docs/decision_support_system_using_decis
Decision Support System Using Decision Tree and Neural Networks L. G. Kabari1* and E. O. Nwachukwu2 1. Computer Science Department, Rivers State Polytechnic, Bori, PMB 20, Rivers State, Nigeria 2.
http://www.ijcim.th.org/past_editions/2011V19N3/Paper_9-v19n3-p54-61.pdf
Decision Support System using Artificial Neural Network for Managing Product Innovation International Journal of the Computer, the Internet and Management Vol. 19. No.3 (September-December, 2011) pp 54-61 55 attention from researchers on the development problem, there still is a relatively stable success rate near 59% for
https://www.isis.vanderbilt.edu/sites/default/files/short_term_transit_dnn.pdf
Short-Term Transit Decision Support System Using Multi-Task Deep Neural Networks Fangzhou Sun, Abhishek Dubey, Chinmaya Samal Department of EECS, Vanderbilt University
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380578/
Feb 19, 2019 · Health care organizations are leveraging machine-learning techniques, such as artificial neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to diagnosis are well-known; however, ANN are increasingly used to inform health care management decisions. We provide a ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.657.8681
BibTeX @MISC{Mitra_optimaldecision, author = {Snehil Mitra and Vedant Sharma}, title = {Optimal Decision Support System Using Multilayer Neural Networks for Incinerator Control}, year = {}}
https://ieeexplore.ieee.org/document/6069313/
Clinical decision support system based on Jordan/Elman neural networks Abstract: Epilepsy is a common neurological disorder that is characterized by recurrent unprovoked seizures. About 40 to 50 million people worldwide have epilepsy.
https://www.jardcs.org/abstract.php?id=2817
Advanced Decision Support System for Postoperative Care Unit Using Artificial Neural Networks. Kayalvizhi Subramanian, Mahmod Othman, Rajalingam Sokkalingam and Gunasekar Thangarasu Abstract. Information technologies have become a vital element of everyday human’s life. It makes them easy to handle the decision making problems with a ...
http://file.scirp.org/pdf/JILSA_2013073114583405.pdf
Innovative Artificial Neural Networks-Based Decision Support System for Heart Diseases Diagnosis 177. ance, classification accuracy and effectiveness of the proposed NN-based decision support system have been examined. Series of experiments were carried out using real medical data from the Royal Medical Services. The
https://issuu.com/alexanderdecker/docs/decision_support_system_using_decis/3
Jul 04, 2013 · Issuu is a digital publishing platform that makes it simple to publish magazines, catalogs, newspapers, books, and more online. ... Decision support system using decision tree and neural networks ...
https://ieeexplore.ieee.org/document/7449794/
Feb 16, 2016 · Decision support system for investing in stock market by using OAA-Neural Network Abstract: In stock market, successful investors can earn maximum profits depended on a stock selection and a suitable time on trading. Generally, investors use two statistical techniques for making a decision, which are the fundamental analysis and the technical ...
https://arxiv.org/pdf/1910.02219
operator support system. This work, based our previous publication (Ayodeji et al., 2018), presents the developmental process for decision support system. Here, we determined the optimum recurrent neural network architecture necessary to build a comprehensive knowledge base for the decision support system
https://www.intechopen.com/books/advances-in-data-mining-knowledge-discovery-and-applications/improving-decision-support-systems-with-data-mining-techniques-
Some of these tools analyze data from the statistic perspective or by using neural networks. In our opinion, in order to build an efficient decision support system there must be combined several techniques and methods that can improve the performance and the accuracy of the analysis from two major perspectives: historical data and forecasts.
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