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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     

different Neural Networks

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

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     

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     

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     

Nnbpga Neural Networks of genetic algorithm

GA using feedforward Neural network optimized by genetic algorithm optimized code inspection, or' and ISIR problem...
  Matlab        Matlab     

Networks questions

Computer Network HW , who can help me to finish? please contact my QQ number 907553033 thanks...
  Network questions        C     

design Perceptron Neural Network to distinguish three classes

The (MATLAB) code to design Perceptron Neural Network to distinguish three classes (Male, female, and Child). Using F0 only for simplification....
  neural network        Matlab     

Neural network

a program for using Neural Networks.The Neural Networks is a way to model any input to output relations based on some input output data when nothing is known about the model. This example shows you a very simple example and its modelling through Neural network using MATLAB....
  Matlab        Matlab     

Hopfield Neural Network

A Hopfield network is a form of recurrent artificial Neural network invented by John Hopfield. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but co...
  Matlab        Matlab     

Introduction to Neural network in java

Introduction to Neural network in java. Several samples to show how to simulate Neural Networks and resolve classic problems with this approach....
  Java Development        Java     

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