artificial neural network decision system
Decision support system for forecasting production time: A case study on fiberglass industry
... Artificial neural network (ANN) is a computing network that is trying to simulate decision-making processes in the nerve tissue of biological ...a network of computing ...2013). ...
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Fuzzy MADM Method for Decision Support System based on Artificial Neural Network to Water Quality Assessment in Surabaya River
... problems. Artificial neural networks are used to obtain the classification of water quality, research that has been done by Liu et ...of decision support systems. So the addition of a decision ...
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Survey on Credit Card Fraud Detection Methods
... on Artificial Intelligence, Data mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support Vector Machine, ...
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Diagnosis of Breast Cancer Using Intelligent Techniques
... diagnosis system is totally based on data obtained through clinical and/or other test ,most of the decision related to a patient to find out disease is taken based on these data Better classification of a ...
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Genome-wide classification of dairy cows using decision trees and artificial neural network algorithms
... The learning process is an iterative operation. In the forward phase, the input patterns will be fed into the input layer of the system. Each hidden layer does the computation and forwards the activation values to ...
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An Ensemble Data Mining and FLANN Combining Short-term Load Forecasting System for Abnormal Days
... and artificial neural network techniques, an ensemble decision tree and FLANN combining short-term load forecasting system is proposed to mainly settle the weather- sensitive factors’ ...
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An Expert System for choosing Branch in Medical Education using Artificial Neural Network
... Grey system theory in 1982 as a simple and accurate method for multiple attributes decision ...Grey system as proposed by included GRA for effective selection of relevant ...Grey system theory ...
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Vol 5, No 1 (2013)
... A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... a system or simulated environment for early prediction or diagnosis of Heart disease, for example-Cardiovascular Disease (CVD) and Coronary Heart Disease (CHD) using ANN ...conventional decision support ...
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A comparison of artificial neural network and decision tree for profitability in technology sector
... Artificial neural network is a computer-based system which is modeling and matching output and input ...of artificial neural network are ...weights. Neural cells ...
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A novel trio combo strategy for efficient team formation using hybrid triangulation mechanism
... for rating (ex: 1 and 2 as 1 alone). Then these three scaled Likert are linguistically formulated for better understanding (ex: 1 as Low, 3 as normal and 5 as High). The class label is chosen based on experts advice for ...
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Protection and Controlling of Transmission Lines by using Machine Learning Techinique
... Three section power conductors are that the soul of the facility system. Power transmission is that the major issue in EE once generation. If any fault or disturbance occurred within the conductor and isn't ...
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Informative Feature Trained Classification System For Credit Card Fraud Detection
... introduced Artificial Neural Networks (ANN) which is capable of simplifying the programming effort and algorithm design used in conventional ...on neural networks and fuzzy ...
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ABSTRACT: Chaos and chaos control are new theories and new fields of nonlinear dynamics. Chaotic motion
... and neural network method, and puts forward some opinions on the possible difficulties in the future, and points out the application prospect and research direction of chaos ...
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Early detection of the advanced persistent threats attacks using performance analysis of deep learning
... victim system is Advanced Persistent Threats ...the network for a long time and the fact that the network may crash because of high traffic, it is difficult to detect this type of ...C5.0 ...
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A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
... for RCCRO for performance improvement. The performance of RCCRO has been compared with a large number of techniques and experimented on using a set of standard continuous benchmark functions. The results show the ...
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Advanced Data Mining International, LLC. Clients Alcoa, BP, B&V, state agencies, water utilities, USACOE, USGS, USDOE, WERF, WRF..
... Artificial Neural Network (ANN) estuary model embedded in decision support systems (DSS).. Decision support systems (DSS) color gradient scenarios streaming graphics simulation [r] ...
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Application of Artificial Intelligence for Epilepsy Disease
... recurrent Neural Network (RNN) ...belief network [11] and restricted Boltzmann machine [10], in short it is written DBN and ...two-surface neural net accompanied by one perceptible and one ...
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Self-Improving Generative Artificial Neural Network for Pseudo-Rehearsal Incremental Class Learning
... deep neural network system that acts both as generator and classifier of data to incrementally learn new classes of information present on data by generating samples from previous information, while ...
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Artificial immune system based on real valued negative selection algorithms for anomaly detection
... K-Nearest Neighbour (KNN), originally proposed by Fix and Hodges, is a very simple instance-based learning algorithm (Fix & Hodges, 1951), and one of the most popular algorithms for text categorization. The idea ...
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