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Solutions Manual - TCPIP Protocol Suite by Behrouz A. Forouzan

I downloaded this title from CodeForge.com and found it wasn't what it should have been. In fact I'm not sure what I downloaded. But it was not "Solutions Manual - TCPIP Protocol Suite by Behrouz A. Forouzan". I came across the Solutions Manual else where and thought you might want to update your fi...
  Document        PDF     

Food Classifier using Neural Networks- this implemetation is good for classifying of foods

Foodcam Classifier ================== A Bag Of Visual Words classifier for MIT Media Lab's Foodcam. Built using OpenCV 2.3 Implementing BOVW method: Visual Categorization with Bags of Keypoints by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004. Using O...
  OpenCV        C++     

Estimation of body fat with Neural Networks

This code presents the estimation of body fat percentage using Neural Networks. We explore two different methods for classification and estimation, the MLP and SOM. Showing the methodology used in each and the best result. Finally we compare the results achieved and conclude....
  Matlab        Matlab     

Simulation of robot control using genetic algorithm optimized Neural Networks

Simulation of robot control using genetic algorithm optimized Neural Networks...
  Matlab        Matlab     

different Neural Networks

in this work different types of Neural Networks implemented by matlab codes....
  Algorithm        Matlab     

30 cases analysis of Neural Networks, with source code

Analyzing the case of MATLAB Neural network, including source code, very complete! Major BP Neural Networks, genetic algorithms, Hopfield algorithms, probabilistic Neural Networks, and so on....
  Matlab        Matlab     

prediction with Neural Networks in matlab

this program can be used to compare different Neural Networks for prediction of time series data such as wind speed prediction. it can perfome afew hours ahead prediction for wind speed data....
  Matlab        Matlab     

IMAGE COMPRESSION AND DECOMPRESSION USING Neural Networks

efficient multi-layered Neural network and suitable and tested using MATLAB for a test case of image of size 64:64, the trained weight and biases have been recorded....
  Matlab        Matlab     

TI DSP BIOS user Manual and driver development

TI DSP BIOS user Manual and driver development, BIOS Manual TI the Crown, perfect programming tools for embedded system based on DSP...
  Embeded        C     

A very simple example of Neural Networks using back propagation

 A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layers as you can. The code here is exten...
  Windows        VB     

Modelling The Rolling of a vessel by Artificial Neural Networks

The code is formed for modelling the rolling of a merchant ship using the approach of Artificial Neural Networks. In this code 4 layers are assumed to exist in the model. Among them the first is the input layer and the last is of course output layer. No recurrent is intended for the mode...
  Engineering        C++     

Adapting RBF Neural Networks for multi-instance learning

 Adapting RBF Neural Networks for multi-instance learning. Neural Processing Letters, 2006, 23(1): 1-26.  ...
  Matlab        Matlab     

High Speed Face Recognition Based on Discrete Cosine Transforms and Neural Networks

 %High information redundancy and correlation in face images result in % ineciencies when such images are used directly for recognition. In % this paper, discrete cosine transforms are used to reduce image % information redundancy because only a subset of the transform % coecients are neces...
  Matlab        Matlab     

Artificial Neural Networks Evaluation as an Image Denoising Tool

Image denoising is a challenging task in the digital image  processing  research  and  application. This makes it imperative to find a robust method to comply that task. In this paper, a detailed performance evaluation of using the Neural Networks as a noise reduction tool i...
  Matlab        Matlab     

back propagation algorithm for Neural Networks

iris data set for Neural network. back propagation algorithm is implemented which is one of the best learning technique for Neural network. in pre-processing step min-max normalization is used....
  Matlab        Matlab     

Neural Networks compression

This example illustrates how a self-organizing map Neural network can cluster iris flowers into classes topologically, providing insight into the types of flowers and a useful tool for further analysis....
  Algorithm        Matlab     

Solution Manual - Electronic Devices and Circuit Theory 10th Edition

Copyright © 2009 by Pearson Education, Inc., Upper Saddle River, New Jersey 07458. Pearson Prentice Hall. All rights reserved. Printed in the United States of America. This publication is protected by Copyright and permission should be obtained from the publisher prior to any prohibited reproduct...
  book        PDF     

Paper< Heterogeneous cellular Networks with flexible cell of Association:a comprehensive downlink sinr analysis> Figure 4 simulation, you can run

Paper< heterogeneous cellular Networks with flexible cell of Association:a comprehensive downlink sinr analysis> Figure 4 simulation, you can run it, program is described in a heterogeneous cellular network, the network layer, low power base stations density and power bias on the network effec...
  Matlab        Matlab     

Recognition Offline Handwritten Hindi Digits Using Multilayer Perceptron Neural Networks

Handwritten Hindi digit recognition plays an important role in eastern Arab countries especially in the courtesy amounts of Arab bank checks. In this paper, we proposed an efficient offline handwritten Hindi digits recognition system and developed using Multilayer Perceptron Neural Network (MLP). Th...
  Matlab        Matlab     

ADAPTIVE BEAMFORMING WITH LOW SIDE LOBE LEVEL USING Neural Networks TRAINED BY MUTATED BOOLEAN PSO

Abstract|A new adaptive beamforming technique based on Neural Networks (NNs) is proposed. The NN training is accomplished by applying a novel optimization method called Mutated Boolean PSO (MBPSO). In the beginning of the procedure, the MBPSO is repeatedly applied to a set of random cases to est...
  Document        Word     

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