neural network expert system
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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Expert System-Based Predictive Cost Model for Building Works: Neural Network Approach
... Artificial Neural Network: Neural network architecture and Back propagation learning technique were used in this study from Neurosolution software or ...of Network architecture with its ...
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An Expert System for choosing Branch in Medical Education using Artificial Neural Network
... of neural networks for pattern recognition or ...artificial neural net-works in computer security, detection of computer intrusion and detection of computer viruses, image detection, and fingerprint ...
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A PROPOSED THEORY OF NEURAL NETWORKS IN KNOWLEDGE MANAGEMENT FOR AN EXPERT SYSTEM
... a neural networks for computer-aided knowledge management as , characterized in that all the elements are stored dynamically, and are administered dynamically via a list concatenated via pointers, in that each ...
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A Neuro-Fuzzy System For Diagnosis of Soya-Beans Diseases
... Expert system is a branch of artificial intelligence that is highly beneficial to many experts in various fields in providing solution to some uncertain and imprecise ...of expert system in ...
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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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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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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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Modified Neural Network Architecture based Expert System for Automated Disease Classification and Detection using PCA Algorithm
... Exhaustive studies and developments in the field of nanotechnology have been carried out and different nanomaterials have been utilized to detect cancer at early stages. Nanomaterials have unique physical, optical and ...
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Development of an Expert System for Message Routing in a Switched Network Environment
... computer network environment (Switched Network) using a Neuro- Fuzzy Expert System (NFES) ...of network traffic condition and imprecise and poor bandwidth management ...Neuro-Fuzzy ...
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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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Artificial Neural Network Classification for Gunshot Detection and Localization System
... [27]. Navrátil, M., Křesálek, V., &Dostálek, P. (2011, May).Neural network classification of gunshots using spectral characteristics. In Proceedings of the 13th WSEAS international conference on ...
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Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor
... The first phase of the two is training phase; it is used to generate training data set. In the mentioned control approach, the actual and change in torque of motor values are generated in form of vector and data is ...
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Implementation of E-Service Intelligence in the Field of Web Mining
... Swarm intelligence [SI] is a term introduced in 1989 in the context of cellular robotic systems and representing the collective behavior of decentralized, self-organized artificial systems, by analogy to the real world ...
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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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A Machine Learning Approach for Secure Intrusion Detection in Wireless Sensor Networks
... 3) Unsupervised Learning: There is no administrator in unsupervised learning, and it is prepared using unlabeled information only. Unsupervised learning is like a statistical clustering, in which they recognize different ...
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Expert System for Management of Water Distribution Network (WDN)
... distribution network with any generic geographic information system in order to facilitate network data archival and ...as network modeling including its ...a network as well as to ...
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Neural Network Based Rainfall Prediction
... forward neural network popularly called as multilayer perceptrons consists of multiple layers of computational units, usually interconnected in a feed-forward ...of neural network we take 25 ...
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A review of emerging techniques on generation expansion planning.
... This paper will describe these emerging optimization techniques, including expert systems, fuzzy logic, neural networks, analytic hierarchy process, network flow, deco[r] ...
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ABSTRACT: Chaos and chaos control are new theories and new fields of nonlinear dynamics. Chaotic motion
... The development of chaotic science has aroused the interest of various disciplines, but as scientific terms, chaos has not been universally recognized as the definition. Lorenz, known as the "father of chaos," ...
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