decision-based neural networks
Innovative Artificial Neural Networks Based Decision Support System for Heart Diseases Diagnosis
... diagnose based on Artifi- cial Neural ...perceptron neural network with an input, one hidden and an output layer were used to classify the heart ...
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Deep Neural Networks Constrained by Decision Rules
... of neural networks and the interpretability of decision rules, we propose a hybrid technique called rule-constrained networks, namely, neural networks that make decisions by ...
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A New Decision Tree for Recognition of Persian Handwritten Characters
... ABSTRACT In this paper a binary decision tree, based on Neural Networks, Support Vector Machine and K-Nearest Neighbor is employed and presented for recognition of Persian handwritten is[r] ...
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Applying Advanced NN based Decision Support Scheme for Heart Diseases Diagnosis
... is based on Artificial Neural Networks (ANNs), provides a decision support system to classify the heart diseases: mitral stenosis, aortic stenosis and ventricular septal ...
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... methodology. Neural networks share the advantages with the many other data mining ...Also, decision trees, a method of splitting data into homogeneous clusters with similar expected values for the ...
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AN OPTIMISED INTELLECTUAL AGENT BASED SECURE DECISION SYSTEM FOR HEALTH CARE
... functions. Decision Trees and Neural Networks use classification algorithms while Regression, Association Rules and Clustering use prediction algorithms [Charly ...(1998)]. Decision Tree ...
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1. Application based, advantageous k-means algorithm
... Abstract : This paper has been written with the aim of giving a basic view on data mining. Various software’s of data mining analyzes relationships and patterns in stored transaction data based on the user ...
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FUZZY LOGIC BASED VOLTAGE AND FREQUENCY OF A SELF EXCITED INDUCTION GENERATOR FOR MICRO HYDRO TURBINES FOR RURAL APPLICATIONS
... rule based classifiers, decision trees, support vector machines, bayesian classifiers, genetic algorithms, neural networks, fuzzy logic ...
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1. Breast cancer diagonsis using artifical neural network
... Artificial neural network has been widely used in various fields as an intelligent tool in recent years, such as artificial intelligence, pattern recognition, medical diagnosis, machine learning and so ...matrix ...
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Deep Learning for Stock Market Prediction
... and neural networks (ANN, RNN and LSTM) in order to correctly forecast the values of four stock market groups (Diversified Financials, Petroleum, Non-metallic minerals and Basic metals) as a regression ...
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An agent based method for predicting monthly maximum & minimum quote prices
... the networks in the desired direction in order to obtain the best fitness ...the neural network discussed and one method based on ensemble output of noisy data for training the Elman networks ...
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Dynamic visual cryptography with Arnolds logarithm using ANN for medical data protection
... construction very complicated cryptosystem, where the crypto analyst or the hard track not just need the choro graphy of the NN and the key to crack the system, but also need to know the number of modifying iterations ...
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Decision support methods in diabetic patient management by insulin administration neural network vs induction methods for knowledge classification
... This type of process can produce deep trees that over trained, with terminal nodes based on only a few examples. There are various tree pruning methods that can be used to overcome this problem [14]. The central ...
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Advanced decision support for complex clinical decisions
... Physician’s decision-making skills are directly re- lated to the patient’s positive ...their decision making ...Clinical Decision Sup- port System (CDSS) is an effective means to consoli- date ...
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Method of Wireless Sensor Network Data Fusion
... RBF neural network can predict the data ...sensor networks, the data concerned can be transmitted directly, such as environmental assessment, environmental tempera- ture, humidity, air quality, and ...
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Impact of Earnings per Share on Market Price of Share with Special Reference to Selected Companies Listed on NSE
... loosely based on interpretation of information processing and communication patterns in a nervous system, such as neural coding which attempts to define a relationship between various stimuli and associated ...
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Intrusion Detection System Using Hybrid Approach by MLP and K-Means Clustering
... introduce Neural Network Committee Machine (NNCM), it consist Input Reduction System which is based on Intrusion Detection System and Principal Component Analysis (PCA) and these are represented by three ...
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Edge Preserving Image Compressor (EPIC) in Medical Image Using Dynamic Associative Neural Networks
... neural network based compression is utilized, and the edge-subtraction step is eliminated entirely. It is designed to be modular in nature, and improvements in each module can be incorporated easily into ...
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Segmentation of Lung Images using Region Based Neural Networks
... a neural network-basedsegmentation approach for CT lung images was proposedusingthe combination of Neural Networks and region growing which combines the regions of different ...state neural ...
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CISSP Certified Information Systems Security Professional Study Guide, 3rd Ed pdf
... high-authority responsibilities are divided among several subjects, no one subject has sufficient access to perform significant malicious activities or bypass imposed security controls. Separa- tion of duties creates a ...
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