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[PDF] Top 20 PHONETIC CLASSIFICATION BY ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM AND SUBTRACTIVE CLUSTERING

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PHONETIC CLASSIFICATION BY ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM AND SUBTRACTIVE CLUSTERING

PHONETIC CLASSIFICATION BY ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM AND SUBTRACTIVE CLUSTERING

... modeling, and even as conventional linear techniques for both state estimation and state control which are directly ...This adaptive network has good ability and performance in ... See full document

10

Adaptive Neuro-Fuzzy Inference System Approach for the Automatic Screening of Diabetic Retinopathy in Fundus Images

Adaptive Neuro-Fuzzy Inference System Approach for the Automatic Screening of Diabetic Retinopathy in Fundus Images

... blindness and so early diagnosis and timely treatment is particularly important to prevent visual ...vessels and exudates detection was proposed to screen diabetic ...developed based on ... See full document

7

Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review

Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review

... brains based on the connections among many simple processing elements, so called ...behavior based on the external in- formation that flows through an ANN during the learning (train- ing) ...the ... See full document

10

Adaptive Neuro-Fuzzy Inference Systems for Modeling Greenhouse Climate

Adaptive Neuro-Fuzzy Inference Systems for Modeling Greenhouse Climate

... neural network identifier, a fuzzy identifier has some essential advantages which are described in the ...data and linguistic information, it is feasible to apply fuzzy logic system for ... See full document

5

Artificial neural networks: A novel approach to analysing the nutritional ecology of a blowfly species, Chrysomya megacephala

Artificial neural networks: A novel approach to analysing the nutritional ecology of a blowfly species, Chrysomya megacephala

... clarified and detailed by the deployment of appropriate modelling techniques such as artificial neural networks, which are mathematical tools widely applied to the resolution of complex biological ...(RBF), ... See full document

19

Impact of Hybrid Intelligent Computing in Identifying Constructive Weather Parameters for Modeling Effective Rainfall Prediction

Impact of Hybrid Intelligent Computing in Identifying Constructive Weather Parameters for Modeling Effective Rainfall Prediction

... set and fuzzy set theories as proposed by Pawlak and Zadeh have become an effective tool for handling vagueness and fuzziness in the real world ...Intelligent System (HIS) for ... See full document

10

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

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

... knowledge and reasoning processes without employing precise quantitative ...neural network and fuzzy Logic is expected to overcome the limitation due to the ability in mapping the nonlinear ... See full document

6

Fuzzy Backstepping Sliding Mode Control for Mismatched Uncertain System

Fuzzy Backstepping Sliding Mode Control for Mismatched Uncertain System

... varying and complex dynamics [7], [8]. T-S fuzzy model is a nonlinear model to describe the dynamic characteristics of complex systems, and more effective way to describe nonlinear systems ...T-S ... See full document

7

FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT

FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT

... provided by sewage sludge and wastewater, as due to non- volatilization and leaching of nitrogen, unlike that occurs when applied urea, may have caused higher dry matter ...provided by ... See full document

13

An improved fuzzy inference system for voltage/VAR control

An improved fuzzy inference system for voltage/VAR control

... a system facing overloads, having multiple violations and with limited control capacity (for instance, because only a small number of devices are allowed to operate to correct voltages), one may face a ... See full document

6

Shop Inference System Using Location Data and Bayesian Network

Shop Inference System Using Location Data and Bayesian Network

... and user’s Web browsing history. The user attribute refers to the user’s age and gender. The conditional probability is derived from the statistical data. ‘Distance’ refers to the distance between the ... See full document

3

New Heterogeneous Clustering Protocol for Prolonging Wireless Sensor Networks Lifetime

New Heterogeneous Clustering Protocol for Prolonging Wireless Sensor Networks Lifetime

... of network lifetime. The network characteristics of existing classical clustering protocols for wireless sensor network are ...homogeneous. Clustering protocols fail to maintain the ... See full document

5

Fuzzy Rule Base System for Software Classification

Fuzzy Rule Base System for Software Classification

... analysis and the fuzzy system are ...medium and high values despite of the fact that they do have single responsibility, low coupling and high ...objects and follow conventions ... See full document

21

Adaptive clustering of codes for assessment in introductory programming courses

Adaptive clustering of codes for assessment in introductory programming courses

... Adaptive clustering of codes for assessment in introductory programming courses – ITS 2018 Alexandre A.. Adaptive Clustering of codes[r] ... See full document

25

Modified Low Energy Adaptive Clustering Hierarchy for Heterogeneous Wireless Sensor Network

Modified Low Energy Adaptive Clustering Hierarchy for Heterogeneous Wireless Sensor Network

... homogeneous network in ...clustered network. The clustering algorithms such as LEACH [2, 7], PEGASIS and HEED [4] assumes the sensor networks are homogeneous which are poorly performed in ... See full document

6

Developing Backward Chaining Algorithm of Inference Engine in Ternary Grid Expert System

Developing Backward Chaining Algorithm of Inference Engine in Ternary Grid Expert System

... known and very popular expert system type is production ...declarative and procedural representation for using them in a unified ...production system which is developed by A production ... See full document

5

Backstepping Adaptive Fuzzy Control for two-link robot manipulator

Backstepping Adaptive Fuzzy Control for two-link robot manipulator

... paper, based on Lyapunov method, a backstepping adaptive fuzzy control scheme is presented for the two-link robot manipulator ...control and adaptive fuzzy control to cope with ... See full document

6

SELF TUNING CONTROLLERS FOR DAMPING LOW FREQUENCY OSCILLATIONS

SELF TUNING CONTROLLERS FOR DAMPING LOW FREQUENCY OSCILLATIONS

... (SMIB) system (Heffron-Philips model of a power system installed with UPFC) with ...is based on pulse width modulation (PWM) ...b and δ e , δ b are the amplitude modulation ratio and ... See full document

8

Handwriting and Speech Prototypes of Parkinson Patients: Belief Network Approach

Handwriting and Speech Prototypes of Parkinson Patients: Belief Network Approach

... closure and reduced ...done by quantifying several vocal ...“a” and a short sentence in ...repetition and the parameter will be more ...sound and a notebook ...widely and ... See full document

7

Faults Classification of a Scooter Engine Platform Using Wavelet Transform and Artificial Neural Network

Faults Classification of a Scooter Engine Platform Using Wavelet Transform and Artificial Neural Network

... neural network using a multiplayer perception classifier with error back propagation (BP) algorithm based on supervised learning rule is applied for training and testing the classifier in the present ... See full document

6

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