hi, i need matlab code for handwriting recognition with GA.
my mail: [email protected] ....etc

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NATURAL LANGUAGE GRAMMAR INDUCTION USING PARALLEL GENETIC ALGORITHM
Presented By:
Hari Mohan Pandey
Department of Computer Engineering
MPSTME, NMIMS University, Mumbai
Under the Guidance of
Prof. Dr. N.S. Choubey

ABSTRACT
As we all are aware that there are only two ways one can use for communication first is oral and the second one is written. Natural Language processing is the area where we deal with both the approach of communication. For oral, natural language processing support the area called as Speech Processing. In th ....etc

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plz send d matlab code for video segmentation and summarization using genetic algorithm
thanx ....etc

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A Time-Varying Convergence Parameter for the LMS Algorithm in the Presence of White Gaussian Noise

ABSTRACT
A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. Rather than using a fixed convergence parameter μ, this approach utilizes a time-varying LMS parameter μ_n. This technique leads to faster convergence and provides reduced mean-squared error compared to the conventional fixed parameter LMS algorithm. The algorithm has been tested for noise reduction and estimation in ....etc

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PARAMETER ESTIMATION FOR INTELLIGENT VOLUME CONTROLLER THROUGH NEURAL NETWORK CLASSIFIER
What is I.V.C?
I.V.C. is a device which used as volume controller. It is used to minimize the surroundings noise and boosting the desire voice signal to a optimal value. It is use in mobile phone, DVD player and CD player.
BLOCK DIAGRAM OF INTELLIGENT VOLUME  CONTROLLER FOR MOBILE PHONES
Speech Frames
COMMANDS USED IN MATLAB
LPC : ....etc

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developing an algorithm for data mining using clustering genetic algorithm at c++



With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and ....etc

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Abstract
This paper presents a new technique for induction
motor parameter identification. The proposed technique is based
on a simple startup test using a standard V/F inverter. The
recorded startup currents are compared to that obtained by
simulation of an induction motor model. A Modified PSO
optimization is used to find out the best model parameter that
minimizes the sum square error between the measured and the
simulated currents. The performance of the modified PSO is
compared with other optimization methods including lin ....etc

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AIM AND KEY WORDS OF THIS TOPIC IS to detect the exact location of tumor without disturbing the entire image.

(E)EDGE PARAMETER(EDGE DETECTION)
(G)GRAY PARAMETER
(H)LOCAL CONTRAST, WATERSHED SEGMENTATION.

***BLOCK DIAGRAM IS AS SHOWN BELOW: ***

MRI image as input --> preprocessing --> division into blocks -->
--> E --> G --> H --> watershed segmentation --> 2D visiualization

so far i tried like this..

firstly i have read an brain tumor mri image,by using 'imtool' command observed the pixels values. now as already we a ....etc

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Abstract
In this paper, a sensorless induction motorparameter identification is presented. Sensorless control employsa variety of estimators and observers of motor speed, torque andfluxes, and accurate information about motor parameters iscrucial to obtain a high performance control. The parameters ofthe induction motor equivalent circuit are obtained by means ofDC an AC tests using the voltage-source inverter. When theseparameters are estimated a closed loop flux estimator and an openloop speed estimator are implemented to determine ....etc

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my project is enhancement of bandwidth of microstrip antenna using genetic algorithm in matlab ....etc

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