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[PDF] Top 20 Analysis of EM scattering in Waveguide Filter using Neural Network

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Analysis of EM scattering in Waveguide Filter using Neural Network

Analysis of EM scattering in Waveguide Filter using Neural Network

... application of Neural Network (NN) technique in the modeling of a typical electromagnetic (EM) field scattering problem in a waveguide filter structure ... See full document

4

Analysis of Bayes, Neural Network and Tree Classifier of Classification Technique in Data Mining using WEKA

Analysis of Bayes, Neural Network and Tree Classifier of Classification Technique in Data Mining using WEKA

... neuron in each layer is connected to every neuron in the adjacent ...Detailed analysis of multi-layer perceptrons has been presented by Hassoun [11] and by ... See full document

11

A RECURRENT ELMAN NEURAL NETWORK - BASED APPROACH TO DETECT THE PRESENCE OF EPILEPTIC ATTACK IN ELECTROENCEPHALOGRAM (EEG) SIGNALS

A RECURRENT ELMAN NEURAL NETWORK - BASED APPROACH TO DETECT THE PRESENCE OF EPILEPTIC ATTACK IN ELECTROENCEPHALOGRAM (EEG) SIGNALS

... efforts in analyzing the entire length of the EEG recordings to detect traces of ...methods of analysis are tedious and time-consuming, many automated epileptic EEG detection systems ... See full document

4

Marine Diesel Engine Condition Monitoring by Use of BP Neural Network

Marine Diesel Engine Condition Monitoring by Use of BP Neural Network

... variations in valve clearance and engine cylinder load from engine surface vibration ...signals. Using time series analysis can provide various vibration characteristic parameters for the ... See full document

4

Sentence Recognition Using Hopfield Neural Network

Sentence Recognition Using Hopfield Neural Network

... Communication in natural languages between computational systems and humans is an area that has attracted researchers for ...type of communication can have wide ramification as such a system could find wide ... See full document

6

Early Detection of Lung Cancer Using Neural Network  Techniques

Early Detection of Lung Cancer Using Neural Network Techniques

... identification of lung cancer at an initial stage is an important and crucial aspect of image ...stage. In this paper, an approach has been presented which will diagnose lung cancer at an initial ... See full document

6

Implementation of a Neural Network Using Simulator and Petri Nets*

Implementation of a Neural Network Using Simulator and Petri Nets*

... graph of Petri nets can be very useful. Here the ability of Petri nets of analysis may be ...research of fields can give many details on the neural ...truth in the result ... See full document

6

Stability of Fuzzy Elman Neural Network Using Joint Spectral Radius Spectral Radius of Matrix Dynamic Systems

Stability of Fuzzy Elman Neural Network Using Joint Spectral Radius Spectral Radius of Matrix Dynamic Systems

... description in the form of differential/difference equations or similar conventional model is either infeasible or impracticable; due to the complexities involved, and the intrinsic nature of ... See full document

6

Security Assessment of Software Design using Neural Network

Security Assessment of Software Design using Neural Network

... helps in indicating the sequential events that occur during an ...involved in an attack and are used for identifying vulnerabilities in software ...comprises of attack library of ... See full document

7

PREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORK

PREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORK

... given in (Zhong et ...by using the new ...performance in the second stage and also the robustness with respect to different parameter in the first ...correlation in the entire image for ... See full document

13

Artificial Neural Network Analysis in Preclinical Breast Cancer

Artificial Neural Network Analysis in Preclinical Breast Cancer

... systems in cancer that can integrate an expanding number of prognostic factors ...(1). In order to generate the sur- vival estimates of a patient, an optimized method is applied to evaluate ... See full document

8

Using Neural Network for DJIA Stock Selection

Using Neural Network for DJIA Stock Selection

... history of fundamental analysis may be traced back to the work done by Benjamin Graham who is acknowledged as the father of modern security ...work of [11] suggested that it is possible and ... See full document

8

Artificial neural network analysis of genetic diversity in

Artificial neural network analysis of genetic diversity in

... stage of maturity (yellowing) were used from three plants per ...length of the fruit flesh, using a ...fruit in half, in the transverse ...distance of 0.5 cm from the skin, based ... See full document

8

Optical Character Recognition for Isolated Offline Handwritten Devanagari Numerals Using Wavelets

Optical Character Recognition for Isolated Offline Handwritten Devanagari Numerals Using Wavelets

... field of research in pattern recognition, artificial intelligence and machine vision and is used in many real life applications like postal pin code sorting, bank cheque processing, job application ... See full document

7

J. Microw. Optoelectron. Electromagn. Appl.  vol.11 número1

J. Microw. Optoelectron. Electromagn. Appl. vol.11 número1

... trained neural network model has capability of providing an accurate frequency response in a fraction of a ...second. In addition, to optimize the designed filter based on ... See full document

10

Modeling and analysis of porosity and compressive strength of gradient Al2O3-ZrO2 ceramic filter using BP neural network

Modeling and analysis of porosity and compressive strength of gradient Al2O3-ZrO2 ceramic filter using BP neural network

... [r] ... See full document

5

AUTOMATED EDGE DETECTION USING CONVOLUTIONAL NEURAL NETWORK

AUTOMATED EDGE DETECTION USING CONVOLUTIONAL NEURAL NETWORK

... used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging ...differential filter-based algorithms have the advantage of ... See full document

7

Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks

Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks

... study of radiation entrance and exit dynamics and energy consumption in a system is important for understanding the environmental processes that rule the biosphere-atmosphere interactions of all ... See full document

9

Dynamic analysis of biochemical network using complex network method

Dynamic analysis of biochemical network using complex network method

... Complex network analysis has been well exploited in system biology by combining mathematical modeling, experiments, and computer ...patterns of interconnections occurring in complex ... See full document

5

Automatic eye localization in color images

Automatic eye localization in color images

... made in last years [1, 3, 6, 7, 8, 9, 10, 11, 12, 13, 14], EL remains an open problem due to increasing demand of accuracy and speed in eye localization [1, 3, ...behavior of face processing ... See full document

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