Generalized Regression Neural Network (GRNN)
The Research of Tax Inspection Based on Generalized Regression Neural Network
... the generalized regression neural network (GRNN) to assist tax inspection case ...2. Generalized Regression Neural Network The artificial neural ...
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Fingerprint Classification Using Kernel Smoothing Technique and Generalized Regression Neural Network and Probabilistic Neural Network
... process. Generalized regression neural network (GRNN) and Probabilistic neural network (PNN) are employed to classify fingerprints in four ...
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Evaluation of food logistics system based on generalized regression neural network
... [2]. Generalized Regression Neural Network (GRNN), is a kind of neural networks ...applies generalized regression neural network to evaluate and analyze food ...
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Generalized Regression Neural Network Based Wind Speed Prediction Model for Western Region of India
... With the growing demand of power generated by wind energy, prediction of wind speed has become an important region for research. In this paper, wind speed is predicted using Generalized Regression ...
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An Approach to Carbon Emissions Prediction Using Generalized Regression Neural Network Improved by Genetic Algorithm
... The study on scientific analysis and prediction of China’s future carbon emissions is conducive to balancing the relationship between economic development and carbon emissions in the new era, and actively responding to ...
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Knee Joint Angle Prediction Based on Muscle Synergy Theory and Generalized Regression Neural Network
... Abstract—Continuous joint motion estimation plays an important part in accomplishing more compliant and safer human-machine interaction (HMI). Surface electromyogram (sEMG) signals, which contain abundant motion ...
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Analisis Kinerja Gabungan Metode Ensemble Empirical Mode Decomposition Dan Generalized Regression Neural Network
... Abstrak – Metode runtun waktu cocok digunakan ketika akan memeriksa setiap pola data secara sistematis dan memiliki banyak variabel bebas, seperti pada kasus harga minyak mentah. Salah satu penelitian yang memanfaatkan ...
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Metode Hibrida K-Means Dan Generalized Regression Neural Network Untuk Prediksi Arus Lalu Lintas
... Email: 1 [email protected], 2 [email protected] Masuk: 14 Desember 2015; Direvisi: 28 Desember 2015; Diterima: 4 Januari 2016 Abstract. Traffic flow forecasting is a popular research topic in the development of ...
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Stator Turn-to-Turn Fault Detection of Induction Motor by Non-Invasive Method Using Generalized Regression Neural Network
... Artificial neural network (ANN) methods are robust and less model dependent for fault diagnosis when the fault signature can be directly achieved using the sampling ...Therefore, generalized ...
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Multilayer perceptron, generalized regression neural network, and hybrid model in predicting the spatial distribution of impurity in the topsoil of urbanized area
... of neural networks most commonly used in this type of research was carried out: multi-layer perceptron (MLP), generalized regression neural network (GRNN), and a combined MLP and ...
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Fingerprint Recognition Using Markov Chain and Kernel Smoothing Technique with Generalized Regression Neural Network and Adaptive Resonance Theory with Mapping
... divergent neural networks, consisting Generalized Regression Neural Network (GRNN) and Adaptive Resonance Theory with mapping ...
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Structural Elucidation of Guaiane Sesquiterpenes from 13C Data using Generalized Regression Neural Network (GRNN) and Scatter Plots Methods
... using Generalized Regression Neural Network (GRNN) and scatter plot ...The network was trained and simulated using twenty-five (25) test ...
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Generalized Regression Neural Network Based on Soft Sensor for Multicomponent Distillation Column
... Key words: Distillation column, generalized regression, neural network, soft sensor. 1. Introduction In the monitoring and control of distillation columns, on-line composition measurements ...
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Peramalan Kunjungan Wisatawan Mancanegara Menggunakan Generalized Regression Neural Networks
... menggunakan Generalized Regression Neural Network (GRNN) untuk meramalkan kunjungan wisman menurut 19 pintu masuk utama dan kebangsaan, seperti: Ngurah Rai, Soekarno-Hatta, Batam, Tanjung ...
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A neutron spectrum unfolding code based on generalized regression artificial neural networks
... Artificial Neural Networks have been widely ...propagation neural networks (BPNN) have been used to solve the neutron spectrometry problem, however, some drawbacks still exist using this kind of ...
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A comparison of back propagation and Generalized Regression Neural Networks performance in neutron spectrometry
... Propagation Neural Networks (BPNN), have been applied with success in neutron spectrometry and dosimetry domains, however, the structure and learning parameters are factors that highly impact in the networks ...
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Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance
... The problem with GRNN, as with any other kind of neural network model, is that the process is not straightforward. To be specific in the case of GRNN we have to set up the appropriate sigma value. For ...
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Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance
... The problem with GRNN, as with any other kind of neural network model, is that the process is not straightforward. To be specific in the case of GRNN we have to set up the appropriate sigma value. For ...
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Suspended Sediment Simulation using Ann based Generalized Feed Forward Neural Network (GFF) and Multi Linear Regression Method (MLR)
... 4 Associate Professor Department of Irrigation & Drainage ‘SHUATS’ Allahabad (U.P) ...
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PREDICTING STUDENTS«¤?? ENROLLMENT USING GENERALIZED FEED-FORWARD NEURAL NETWORK
... The results simulated for COSIT is pre- sented in Fig.7. According to the figure, GFFNN and linear regression performed better than autoregression with the best per- formance on the side of GFFNN, as shown from ...
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