Abstract

This paper presents an adaptive Hopfield neural network (AHNN) based methodology, where the slope of the activation function is adjusted, for finding approximate Pareto solutions for the multi-objective optimization problem of emission and economic load dispatch (EELD).We have placed emphasis on finding solutions quickly, rather than the global Pareto solutions, so that our algorithm can be employed in large on-line power systems where variations in load are quite frequent. To enab ....etc

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To get full information or details of handwritten character recognition source code please have a look on the pages

http://seminarsprojects.net/Thread-handwriting-recognition-project-report

if you again feel trouble on handwritten character recognition source code please reply in that page and ask specific fields in handwritten character recognition source code ....etc

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Abstract

This paper presents an effective approach for the offline recognition of unconstrained handwritten Chinese texts. Under the general integrated segmentation-and-recognition framework with character oversegmentation, we investigate three important issues: candidate path evaluation, path search, and parameter estimation. For path evaluation, we combine multiple contexts (character recognition scores, geometric and linguistic contexts) from the Bayesian decision view, and convert the classifier outputs to posterior probabilities via confi ....etc

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number recognition hopfield with matlab

Introduction

The article describes the Hopfield model of neural network. The theory basics, algorithm and program code are provided. The ability of application of Hopfield neural network to pattern recognition problem is shown.

Opening

Here I will not talk about NNs in whole. The main goal of this article is to describe architecture and dynamics of Hopfield Neural network. The base concept of NN, like artificial neurons, synapses, weights, connection matrices and so on, are explained in countless book ....etc

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Description
Speaker Recognition System V3 : Simple and Effective Source Code For for Speaker Identification Based On Neural Networks . See More : http://matlab-recognition-codespeaker-recognition-biometric-system-matlab-code/
- Speaker recognition based on Neural Networks
- High recognition rate
- Text-independent
- Fully customizable
- Easy c/c++ implementation
- Sampling frequency-independent
- Easy and intuitive GUI ....etc

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To get full information or details of neural network source code arabic character recognition please have a look on the pages

http://seminarsprojects.net/Thread-digit-recognition-using-neural-network?pid=18323&mode=threaded

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hi, i am doing project on fpga character recognition. please send me the source code in vhdl to read and processing the characters in fpga ....etc

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Optical character recognition (OCR) is the translation of optically scanned bitmaps of printed or written text characters into character codes, such as ASCII. This is an efficient way to turn hard-copy materials into data files that can be edited and otherwise manipulated on a computer. This is the technology long used by libraries and government agencies to make lengthy documents quickly available electronically. Advances in OCR technology have spurred its increasing use by enterprises. For many document-input tasks, OCR is the most cost-effec ....etc

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Hi , I am BE Student has final year project which is Marathi Character Recognition using MATLAB. Pls if one has pls inform me i'll pay for this.

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Hopfield networks


One of the earliest recurrent neural networks reported in literature was the auto-associator independently described by Anderson and Kohonen. The auto-associator network. All neurons are both input and output neurons, i.e., a pattern is clamped, the network iterates to a stable state, and the output of the network consists of the new activation values of the neurons. The Hopfield network is created by supplying input data vec ....etc

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