# [PDF] Top 20 A Learning System Prediction Method Using Fuzzy Regression

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### A Learning System Prediction Method Using Fuzzy Regression

... by **fuzzy** **regression** analysis in multivariate ...mainly **fuzzy** linear functions though literatures have suggested that the concept could be extended to non-linear and intrinsically linear function ... See full document

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### Forecasting Short Term Electricity Price Using Artificial Neural Network and Fuzzy Regression

... 288 www.hrmars.com/journals be trained, this training process is the procedure to obtain the weights of each connection and the neurons threshold value. There are many training algorithms were developed, including the ... See full document

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### Optimization of Multiple Responses in the Taguchi Method Using Desirability Function and Fuzzy Regression

... inherent **system** fuzziness; such as, fluctuation of process pressure and temperature due to environmental ...Taguchi **method** **using** **fuzzy** **regression** ... See full document

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### Sistema fuzzy para a predição da temperatura cloacal de frangos de corte

... its **prediction** can be used as decision support to turn on acclimatization ...a **system** **using** the **fuzzy** set theory for CT **prediction** of broiler ...The **fuzzy** **system** was ... See full document

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### Momentum Analysis based Stock Market Prediction using Adaptive Neuro-Fuzzy Inference System (ANFIS)

... **Prediction** of stock market returns is an important issue in ...as **Regression** models and ARIMA models [2] are also used for stock price ...market **prediction** during the last ... See full document

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### Neuro-fuzzy modeling in bankruptcy prediction

... of **using** expert systems for bankruptcy **prediction** was the one of Messier and Hansen ...'data-driven' **method** was to take firms of known classes (bankrupt/non-bankrupt) described by a fixed set of ... See full document

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### AADT prediction using support vector regression with data-dependent parameters

... the **system**, which means that it is important that the AADT should be accurately ...for **regression** (SVR) to forecast AADT is presented. The proposed **method**- ology computes the SVR **prediction** ... See full document

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### Arq. NeuroPsiquiatr. vol.66 número2A

... different **fuzzy** arithmetical operations to support in the diagnostic of epileptic events and non epileptic ...events. **Method**: A neuro-**fuzzy** **system** was developed **using** the NEFCLASS ... See full document

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### PREDICTING KAPPA NUMBER IN A KRAFT PULP CONTINUOUS DIGESTER: A COMPARISON OF FORECASTING METHODS

... number **using** different data-driven ...number **prediction** model and fault diagnostics of continuous digesters **using** clustering ...hybrid **system** in the monitoring of the process and the kappa ... See full document

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### Yarn Strength Modelling Using Fuzzy Expert System

... the **prediction** accuracy of mathematical models is not very encouraging due to the assumptions or simplifications used while building these ...Statistical **regression** models proposed by Hafez [6], Hunter [7], ... See full document

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### A Fuzzy Newton-Cotes method For Integration of Fuzzy Functions

... numerical **method** for integration of **fuzzy** functions is considered. **Fuzzy** Newton-Cotes formula, such as **fuzzy** trapezoidal **method** and **fuzzy** Simpson **method** are calculated by ... See full document

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### J. Braz. Chem. Soc. vol.22 número8

... of **system** parameters, such as MF (membership function) parameters, linear coeficients, and so ...by **using** RMSE as a criterion for the test ...produced **using** MATLAB 7.0 **Fuzzy** Logic Toolbox ... See full document

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### Using Recommendation System for E-learning Environments at degree level

... of **learning** objects, such as practices or ...the **learning** objects are classified by categories, he decides to begin with the basic ...those **learning** objects related with an specific ... See full document

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### Prediction of pKa values using the PM6 semiempirical method

... the **method** systematically underestimates the pKa of secondary and tertiary aliphatic amines by ca 1 and 2 pH units, respectively, so an additional empirical correction is added for these two molecule ...types. ... See full document

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### Prediction Based Object Recovery Using Sequential Monte Carlo Method

... a **method** known as SMCM to localize the missing object, when the object is not found by the sensor nodes during object tracking and at last we compare the simulated results of SMCM with the multilatertion and ... See full document

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### Packet Classification using Support Vector Machines with String Kernels

... A kernel is a function that enables the support vector machine to linearly separate the data in a higher-dimensional space . **Using** a kernel function is similar to adding a trivial feature to the already existing ... See full document

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### Using the Comfortability-in-Learning Scale to Enhance Positive Classroom Learning Environments

... st udy w it h m ult iple pr ogr am s m ay r ev eal differences in how pr ogr am s v iew lear ning env ir onm ent s as a m eans t o incr ease lear ning. I t w ould also be int er est ing t o invest igat e how inst r ... See full document

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### Dissolved oxygen prediction using a possibility-theory based fuzzy neural network

... Following previous research for this river, two abiotic inputs (daily mean water tem- perature, T and daily mean flow rate, Q) will be used to predict daily minimum DO. An advantage of **using** these factors is that ... See full document

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### Numerical Solution of PDE’s Using Deep Learning

... solutions, which is the usual form to obtain a solution without explicitly considering the phenomenon called wavebreaking, in which past a certain point the peak of the wave moves faster, creating a multiple valued ... See full document

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### ANFIS Modelling of Flexible Plate Structure

... An ANFIS model characterizing a flexible plate structure has been presented and discussed. The best feature of ANFIS is that it pre-processes all the data into several membership functions before mapping the data into an ... See full document

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