1. INTRODUCTION
1.1 Seminar Context
One of the most popular applications of neural networks is distinguishing patterns into two or more disjoint sets. The neural network approach has been applied to solve pattern classification problems in diverse areas. While the predictive accuracy obtained by neural networks is usually satisfactory, it is often said that a neural network is practically a black box. Even for a network with only a single hidden layer, it is generally impossible to explain why a certain pattern is ....etc

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Sir,
I need a brieef infirmation about diffrent breed of dogs,
Please send it if its available ....etc

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TACTILE SENSING SYSTEM USING ARTIFICIAL NEURAL NETWORKS

ABSTRACT
Object Identification plays an important role in various applications ranging from robotics to computer vision. Artificial neural network (ANN) is being used for in various pattern recognition applications due to the advantages of ability as well as adaptability to learn. This paper presents identification of object independent to size, position and orientation using the concept of ANN and moments. The ....etc

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ABSTRACT
In an ever-developing world, where electronic devices are duplicating every other sense of perception, the sense of smell is lagging behind. Yet, recently, there has been an urgent increase in the need for detecting odours, to replace the human job of sensing and quantification. Some of the most important applications fall in the category where human beings cannot afford to risk smelling the substance. Other important applications are continuous monitoring, medical applications, etc. These application ....etc

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ABSTRACT
With the dawn of the genome era computational methods in the automatic analysis of biological data have become increasingly important. The explosion in the production rate of expression level data has highlighted the need for automated techniques that help scientists analyze, understand, and cluster (sequence) the enormous amount of data that is being produced. Example of such problems are analyzing gene expression level data produced by microarray technology on the genomic scale, sequencing genes on the genomic sc ....etc

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Can you send the seminar report on MASTOR? ....etc

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ARTIFICIAL NEURAL NETWORKS BASED
DEVNAGRI NUMERAL RECOGNITION BY USING S.O.M
ABSTRACT:
In the present paper the proposed system is self organizing map method used to recognize the Devanagiri characters. The som is trained for hundred handwritten devangri characters. The som is trained for hundred hand written devanagari numerals. The Network was tested for different parameters such as o/p nodes, neighborhood size, no of cycle. The process of training was repeated for number of times.
INTRODUCTION:
We begin by consid ....etc

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Submitted To
Kurukshetra University, Kurukshetra

Submitted By
Mr.Sachit Gambhir
MBA-V year-1st sem

INSTITUTE OF MANAGEMENT STUDIES,
KURUKSHETRA UNIVERSITY,
KURUKSHETRA




In today’s environment of increased accountability, the training evaluation Process is a critical component of an organization's training programme. Trainers & the Organizers conducting the program are accountable for ensuring that trainees transfer their knowledge to their work ....etc

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1. INTRODUCTION
This seminar is about the artificial neural network application in processing industry. An artificial neural network as a computing system is made up of a number of simple and highly interconnected processing elements, which processes information by its dynamic state response to external inputs. In recent times study of ANN models have gained rapid and increasing importance because of their potential to offer solutions to some of the problem ....etc

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The Application of Back Propagation Neural Network of Multi-channel Piezoelectric Quartz Crystal Sensor for Mixed Organic Vapours

Abstract
A multi-channel piezoelectric quartz crystal sensor with a
homemade computer interface was prepared and employed in the
present study to detect mixture of organic molecules. Back
propagation neural network (BPN) was used to distinguish the
species in the mixture organic molecules and multivariate linear
regression analysis (MLR) was used to compute the concentration
of ....etc

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A high degree of security for normal operation of larger inter connected power system is required one of the requirements of reliable service in electrical power system is to maintain the synchronous machines running in parallel with adequate capacity to meat the low demand with the growing stress on present days power systems, the potential impact of faults and other disturbances on their security is increasing.




Protective relays in the power system detect faults and trigger the opening of circuit to isolate the fault.The power sy ....etc

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