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Evolving Fuzzy Neural Networks

A Study & Survey on Rainfall Prediction And Production of Crops Using Data Mining Techniques

A Study & Survey on Rainfall Prediction And Production of Crops Using Data Mining Techniques

... of evolving neuro-fuzzy structures techniques can be observed in and Pseudo outer-product-based fuzzy neural networks ("POPFNN") are a family of neuro-fuzzy systems that ...

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Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

... Co-evolutionary algorithms have attracted many researchers in recent years. Potter first proposed cooperative co-evolution in 1994 as a general function optimization approach [17]. Later in 1995, Potter presented a ...

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Optimized Scheduling of Generating Unit for Economic Load Dispatch using Neuro Fuzzy Expert Systems

Optimized Scheduling of Generating Unit for Economic Load Dispatch using Neuro Fuzzy Expert Systems

... received. Neural networks work on training and testing ...a neural network resembling the working of the human based brain architecture with a self organizing memory ...The neural network can ...

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Evolving Intelligent Systems, eIS

Evolving Intelligent Systems, eIS

... humans. Fuzzy Systems are well known for being able to formalize the approximate reasoning that still separates humans from ...Artificial neural networks have proven to be a useful form of parallel ...

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Assistive technology evolving as intelligent system

Assistive technology evolving as intelligent system

... a neural network with fuzzy logic, or there is a neural network with ...ES, fuzzy logic, GA, PSO, fractional calculus, machine and deep learning, neural networks, ...

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Correntropy Based Evolving Fuzzy Neural System

Correntropy Based Evolving Fuzzy Neural System

... International Neural Networks Society and a member of the Board of Governors of the Systems, Man and Cybernetics Society of the IEEE, a Distinguished Lecturer of ...the Evolving Systems journal ...

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A fuzzy neural network to estimate at completion costs of construction projects   Pages 477-484
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A fuzzy neural network to estimate at completion costs of construction projects Pages 477-484 Download PDF

... the neural network and it is analogous with the input vector X p = ( X p 1 , X p 2 ...the neural network’s operation is calculated through defining the cost ...the fuzzy neural model, the cost ...

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Artificial Intelligence Applications for Analysis of E mail Communication Activities

Artificial Intelligence Applications for Analysis of E mail Communication Activities

... complex networks in the areas of dynamic modelling and link ...social networks. This is an area where fuzzy systems or neural networks could be applied [22], to account for some of the ...

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A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System

A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System

... The process of grouping a set of objects or patterns into classes of similar objects is called clustering. Clustering is a process that organizes a data set into a number of groups (clusters) such that patterns within a ...

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Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud

Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud

... on Fuzzy Delphi Method, fuzzy clustering and Back-propagation (BP) Neural Networks with adaptive learning rate in ERP architecture ...parallel neural networks proposed in our ...

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An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes

An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes

... 1. Fuzzy Regression Models In general, a single regression model is used for fitting a data ...the fuzzy c-mean (FCM) algorithm and called it fuzzy ...a fuzzy c-regression ...

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Managing business processes using soft computing techniques – a literature review

Managing business processes using soft computing techniques – a literature review

... of neural networks are based on historical data of the process (Walczak, 2001) and fuzzy logic finds its application in the treatment of linguistic variables through fuzzy numbers (Jamshidi, ...

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Assessment of Severity Level for Diabetic Macular Oedema Using Machine Learning Algorithms

Assessment of Severity Level for Diabetic Macular Oedema Using Machine Learning Algorithms

... In view of the above stated reviews, in this proposed work, non-dilated retinal images are fed as input to the pre-processing stage. It corrects the problem of illumination variation that occurred during image ...

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HYBRID SOFT COMPUTING: THE PERCEPTION

HYBRID SOFT COMPUTING: THE PERCEPTION

... recurrent networks. The feed-forward networks include single- and multiple-layer perceptrons, as well as radial basis functions (RBF) networks ...recurrent networks cover competitive ...

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Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method

Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method

... Recently, machine learning and data mining tech- niques have attracted high attention for intrusion de- tection in both mentioned categories [1, 3]. The major advantage offered by these methods is their general- ization ...

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Rough sets theory for travel demand analysis in Malaysia

Rough sets theory for travel demand analysis in Malaysia

... are neural networks, Bayesian classifier, genetic algorithms, and fuzzy time-series ...as neural networks and fuzzy theory are based on assumptions for knowledge about ...

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A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing

A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing

... The main goal of CAC mechanism is to decide whether a new call is to be admitted into the network or not, it is totally depending on network load conditions which could be free or slightly impeded or fully impeded and ...

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DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL

DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL

... both Neural Network Techniques and Domain Expert knowledge (rules) are combined to increase the quality of input data and output ...the Neural Network to obtain the following ...the Neural Network ...

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The Optimal Design of Weighted Order Statistics Filters by Using Support Vector Machines

The Optimal Design of Weighted Order Statistics Filters by Using Support Vector Machines

... or neural network. Although the adaptive neural fil- ter can e ff ectively remove noise of various kinds, including Gaussian noise and impulsive noise, its learning process in- volves a great deal of ...

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Catalytic thermal degradation of Chlorella Vulgaris: Evolving deep neural networks for optimization

Catalytic thermal degradation of Chlorella Vulgaris: Evolving deep neural networks for optimization

... training neural network for the application of TGA analysis considers single-hidden layer neural networks (Abbas et ...tested neural network with lesser than 3 hidden ...deeper networks ...

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