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Title: tactile-sensing-system-using-artificial-neural-networks
Page Link: tactile-sensing-system-using-artificial-neural-networks -
Posted By: Jayjj
Created at: Monday 24th of January 2011 08:59:14 PM
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Title: TACTILE SENSING SYSTEM USING ARTIFICIAL NEURAL NETWORKS full report
Page Link: TACTILE SENSING SYSTEM USING ARTIFICIAL NEURAL NETWORKS full report -
Posted By: computer science technology
Created at: Sunday 24th of January 2010 06:06:02 PM
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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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Title: Face Recognition Using Artificial Neural Networks
Page Link: Face Recognition Using Artificial Neural Networks -
Posted By: nit_cal
Created at: Saturday 31st of October 2009 05:58:30 PM
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Artificial Neural Networks as ËœNeural Networksâ„¢ is a new branch of AI, that enabled a crude simulation of the structure of human brain electronically or in software. The inherent properties of human brain enable it to analyze complex patterns consisting of a number of elements, those individually reveal little of the total pattern, yet collectively represent easily recognizable objects. The concepts of Neural Networks have been motivated right from its inception, by the recognition that the human brain computes in an entirely differen ....etc

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Title: Artificial neural networks based Devnagri numeral recognitions by using SOM
Page Link: Artificial neural networks based Devnagri numeral recognitions by using SOM -
Posted By: Computer Science Clay
Created at: Thursday 30th of July 2009 06:45:05 PM
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We begin by considering an Artificial neural n/w architecture in which every node is connected to every node and these connect as are either excitatory or inhibitory or irrelevant.




A single node is insufficient for many patricidal problems and large number of nodes is frequently used. The way nodes are connected determines how computations proceed and constitutes an important early design decision by a neural network developer. A brief discussion of biological neural networks is relevant, prior to examining artificial neural networ ....etc

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Title: Unicode OCR using Artificial Neural Network methods
Page Link: Unicode OCR using Artificial Neural Network methods -
Posted By: project topics
Created at: Thursday 22nd of April 2010 02:58:11 AM
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Unicode OCR using Artificial Neural Network methods

This project will recognizes typed latin optical characters and outputs the corresponding Unicode value and character. It is implemented using Artificial Neural Network methods and can be trained for any available font type.

The central objective of this project is demonstrating the capabilities of Artificial Neural Network implementations in recognizing extended sets of optical language symbols. The applications of this technique range from document digitizing and preservation to handw ....etc

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Title: Face Recognition Using Artificial Neural Networks
Page Link: Face Recognition Using Artificial Neural Networks -
Posted By: Haice
Created at: Tuesday 22nd of June 2010 05:00:56 AM
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All ideas, experience and help of any positive form here please... i'm looking to write a face recognition software for my final year project...

The program is to check for faces that appear through a camera or video stream and cross-reference all faces with the data in the database and then signify the faces that have records in the database....

even ideas on face recognition without using artificial neural network are always welcomed....


Thanks ....etc

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Title: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
Page Link: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC -
Posted By: seminar class
Created at: Monday 11th of April 2011 01:37:27 PM
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ABSTRACT:
This project presents the approach to the short term load forecasting using Artificial Neural Network (ANN) and Fuzzy Logic. Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appeared in the literature. Along with this Fuzzy Logic , also a part of Artificial Intelligence, is known to result in accurate predictions. In this paper, a model using Fuzzy Logic with the help of an ANN ....etc

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Title: FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS
Page Link: FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS -
Posted By: Computer Science Clay
Created at: Sunday 01st of March 2009 04:04:09 PM
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FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

Artificial Neural Networks commonly referred to as ËœNeural Networksâ„¢ is a new branch of AI, that enabled a crude simulation of the structure of human brain electronically or in software. The inherent properties of human brain enable it to analyze complex patterns consisting of a number of elements, those individually reveal little of the total pattern, yet collectively represent easily recognizable objects.

The concepts of Neural Networ ....etc

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Title: FAULT LOCATION IN EHV TRANSMISSION LINES USING ARTIFICIAL NEURAL NETWORKS full report
Page Link: FAULT LOCATION IN EHV TRANSMISSION LINES USING ARTIFICIAL NEURAL NETWORKS full report -
Posted By: project topics
Created at: Tuesday 20th of April 2010 08:18:59 PM
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Abstract:
This paper deals with the application of artificial neural networks (ANNs) to fault detection and location in extra high voltage (EHV) transmission lines for high speed protection using terminal line data. The proposed neural fault detector and locator were trained using various sets of data available from a selected power network model and simulating different fault scenarios (fault types, fault locations, fault resistances and fault inception angles) and different power system data (source capacities, source voltages, source angle ....etc

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Title: Neural Networks for Unicode Optical Character Recognition
Page Link: Neural Networks for Unicode Optical Character Recognition -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:57:50 AM
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Neural Networks for Unicode Optical Character Recognition
Abstract: The central objective of this project is demonstrating the capabilities of Artificial Neural Network implementations in recognizing extended sets of optical language symbols. The applications of this technique range from document digitizing and preservation to handwritten text recognition in handheld devices. The classic difficulty of being able to correctly recognize even typed optical language symbols is the complex irregularity among pictorial representations of the same c ....etc

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