expert neural network system
An Expert System for choosing Branch in Medical Education using Artificial Neural Network
... 3) Deciding the training function and validation for the Neural Network: Trainlm (levenburg marquardt) method is used to train the network. It changes value of weight and bias using levenburg ...
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A Neuro-Fuzzy System For Diagnosis of Soya-Beans Diseases
... web-based expert system for diagnosis of fish diseases as an intelligent system with embedded 400 rules-base and graphical user interface for users was another contribution to ...The system ...
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Inspection and Classification of Defects in Pharmaceutical Capsules Using Neural Network Abha Sharma 1Sugandha Arora2
... where neural network are used. As we know neural networks have ability to derive meaning from complicated or imprecise data therefore it can be used to extract patterns and detect trends that are too ...
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Design of an Expert System for Rice Kernel Identification using Optimal Morphological Features and Back Propagation Neural Network
... In another work, morphological features of wheat grains were used to train and test neural networks with different combinations of nodes and iterations. Classification accuracy was about 88% for all of the wheat ...
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A PROPOSED THEORY OF NEURAL NETWORKS IN KNOWLEDGE MANAGEMENT FOR AN EXPERT SYSTEM
... The neural networks in knowledge management , characterized in that the neural network is a component of a server, in that it is connected to a user via a dialog system, optionally via the ...
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Autoimmune diseases a wider perspective
... an expert system to predict lupus is presented in this paper using Apriori and Neural Network ...Algorithm. Neural Network proves the better output which helps the domain experts ...
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Modified Neural Network Architecture based Expert System for Automated Disease Classification and Detection using PCA Algorithm
... The network has inputs, neurons in the first layer, neurons in the second layer, ...one-layer network with inputs, neurons, and an weight matrix The input to layer 2 is ; the output is ...single-layer ...
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Expert System-Based Predictive Cost Model for Building Works: Neural Network Approach
... Abstract -- Project managers need accurate estimate of building projects to be able to choose appropriate alternatives for their constructions. Estimated costs of building projects, which hitherto have been based on ...
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Development of an Expert System for Message Routing in a Switched Network Environment
... a neural network is an artificial intelligence method intended to imitate the functionality of the human ...A neural network has many straightforward and extremely interrelated nodes called ...
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DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL
... model: Neural Network and Fuzzy Expert System, Domain Expert System(DES) and Neural Networks (NN) and Combination of Fuzzy Expert System and Data Mining ...
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AN EXPERT SYSTEM FOR HEART DISEASE PREDICTION USING DATA MINING TECHNIQUE: NEURAL NETWORK
... The main objective of this research has developed a prototype for Expert Heart Disease Prediction System (EHDPS) using data mining techniques namely, Neural Network [2, 17 18].. It can [r] ...
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Neural Network Based Rainfall Prediction
... The neural network based system provides prediction by learning neural network weights for combining the different individual list of the rainfall data on the basis of the training ...
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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... Abstract — predicting the effort of a successful project has been a major problem for software engineers the significance of which has led to extensive investigation in this area. One of the main objectives of software ...
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On the application and design of artificial neural networks for motor fault detection
... There exist many different ways to view an artificial neural network. From the system engineering point of view, it may be easier to visualize a neural network as the l[r] ...
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Neuro fuzzy.ppt
... intelligent system hybrid intelligent system is one that combines is one that combines at least two intelligent ...a neural network with a 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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Implementation of E-Service Intelligence in the Field of Web Mining
... The World Wide Web is today the major source of data and information for all domains.Web Mining is a new area of pursuit in Computer Science. It integrates concepts and techniques from many existing areas such as ...
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A Machine Learning Approach for Secure Intrusion Detection in Wireless Sensor Networks
... sensor network connects millions of nodes over the world running on various platforms for providing secure communication correspondence and business ...based system intrusion detection frameworks are best ...
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Research of adaptive control algorithm research based on rough set and implementation
... adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing and force ...
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... power system in the different operating points under different load dis- turbances by using the learning capability of the neural Networks to improve the stability of the overall system and also its ...
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