fuzzy artificial neural network
Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange
... models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were used to forecast the next day’s closing ...
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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... of artificial intelligence techniques such as ANN [20–25], Support Vector Machines (SVM), Fuzzy Logic, M5 model tree, GRNN, ANFIS [25–33] for various problems in the field of civil ...on Artificial ...
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Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence
... the Fuzzy-neural system we just need to simply show the correct output for the given ...the network will learn to ignore any inputs that don’t contribute to the output [5, ...is Fuzzy ...
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Pancreatic Cancer Detection and Diagnosis Expert System using Artificial Neural Networks and Fuzzy Logic Techniques
... present artificial neural network and fuzzy logic in pancreatic disease diagnosis based on a set of ...using neural network over manual detection ...
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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, Decision ...
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A Survey on Information Retrieval Techniques and Applications
... Relevance of a document to be retrieved can be compared with the safety of drinking water. It is better to accept a document that is almost relevant and rejecting the other that is likely to be relevant. Further ...
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Comparison of Artificial Intelligence Techniques for river flow forecasting
... of Artificial Intelligence methods is be- coming increasingly common in the modeling and forecast- ing of hydrological and water resource ...Neuro Fuzzy Inference Sys- tem (ANFIS) and Artificial ...
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Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing
... three artificial intelligence (AI) techniques comprising adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive neuro-fuzzy inference-wavelet ...
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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 ...of artificial ...
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Knowledge Based Deep Learning Collaborative Filtering (KBDLCF)
... In this second level, Knowledge Based Deep Learning Collaborative Filtering (KBDLCF) is made using Fuzzy Logic and Artificial Neural Networks. This stage has three steps, knowledge base step is used ...
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Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... and artificial neural network models, respectively. Fuzzy model produces the least error of ...V, fuzzy logic model has a lower prediction error in the weft direction ...a fuzzy ...
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Diabetic prediction using fuzzy back propagation and analysis
... The artificial neural network and fuzzy back propagation using triangular membership function and naive Bayesian are all implemented in JDK ...In fuzzy back propagation results have ...
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A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
... of artificial intelligence and soft computing methodologies, including artificial neural networks (ANN), evolutionary algorithms, and fuzzy ...developing neural-network-based ...
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A Neuro-Fuzzy System For Diagnosis of Soya-Beans Diseases
... of artificial intelligence that is highly beneficial to many experts in various fields in providing solution to some uncertain and imprecise ...the artificial intelligence branches widely embraced in many ...
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Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... layer neural network that does not require adjustment of weights, is combined with reinforcement Q-learning [27] to enable online ...a fuzzy logic controller is integrated with heuristic dynamic ...
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Analysis of Groundwater Quality using Mamdani Fuzzy Inference System (MFIS) in Yazd province, Iran
... as Fuzzy Synthetic Evaluation [2; 3; 4], Artificial Neural Network (ANN) [5; 6], Fuzzy Inference Systems (FIS) [1; 7; 8], Grey Relation Method (GRM) [9], Water Quality Index (WQI) [10; ...
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Vol 2, No 11 (2014)
... as fuzzy logic control, neural network control, genetic algorithm, and expert system, proved to be ...superior. Artificial Intelligent Controller (AIC) could be the best controller for ...
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Deduction of reservoir operating rules for application in global hydrological models
... derive fuzzy rules describing the way a reservoir is ...an artificial neural network capable of mim- icking fuzzy logic, called the ANFIS adaptive-network-based fuzzy ...
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Alert Analysis using Fuzzy Clustering and Artificial Neural Network
... era, network security has grow to be the key structure to web applications, such as online retail sales, online auctions, ...techniques, Artificial Neural Network (ANN) is one of the broadly ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... - neural network for the Ligvan Chai (Tabriz, Iran) catchment has been ...of artificial neural network-Wavelet is performed, which shows that the model which precipitation and discharge ...
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