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    55 rbf matlab code jobs found, pricing in CAD

    Looking for implementing fault detection to 3 Phase pump using neural network (RBF), Matlab or labview

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    I would like machine learning classifiers, Supervised learning. Python p...Classifier. ^^Two Features(As is a linear classification) ANN complex classification - feed forward Neural Net SVM non linear classification - use of kernels and feature space i.e RBF kernel If possible C support vector classification and Neural Network Backward Propagation

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    Take existing open source Bitcoin Wallet for Android and modify it for Bitcoin Cash. You will have to remove the Segwit, RBF, change nodes, etc etc. Not sure of the exact scope this would require, I know it not a global edit change name stuff, but it is not rocket science either. Thank You!

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    I need someone who can a derive an iterative algorithm for training of multi-input single-output Radial basis function Neural Network.

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    due to lack of free time, I ne...algorithm works exactly, and comparing between them their advantages and disadvantages with continuous numeric data Naive Bayes, K-mean J48 Binary SVM non-linear with RBF kernel This is on-going project, further instructions will be provided once agreed, it MUST be your own words as this will be checked first

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    ...com/up/pub/Intel_Material/16.1/Tutorials/[login to view URL] we see how to make the ARM processor interact with the FPGA of the de1soc board. The tutorial also explains how to load a custom .rbf file. So I developed my VHDL file which performs Matrix multiplication, now I would like to interact with it using the Linux OS on the board, but the tutorial doesn't explain

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    ...5-day Windowing Multi-variate Forecasting Analysis. Step size 1 #Apply Sliding Window to backtest Window: 10 sample window-width; Step size: -1, Horizon: -1 #Apply SVM with RBF Kernel for Time Series Forecasting #Optimize C and Gamma parameters #Optimize Parameters (apply Walk Forward) Outputs in .xlsx format: 1. Generate List Features ranked

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    The goal of our project is to build a mobile robot capable of autonomous navigation that would be able to detect an ...towards the path with maximum available area. Neural Network, ANFIS, or Fuzzy Logic Controller to be used for dictating the path and motion on MATLAB simulation. Any algorithm used like Backpropagation or RBF needs to be explained.

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    i want an individual feature optimization using SVM with RBF kernel

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    ...plot of the RBF model, indicate base points as black dots. Calculate the approximation error for each N using a separate set of 100 test points generated using Latin hypercube sampling(see more info in file exercise). I have a function for the Latin hypercube sampling, but it needs to be altered to fit this project. Try to make the code in functions

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    I need a Suport Vector Machine (SVM) classifier code in VHDL for 2 class non linear classification using an Radial Basis Function (RBF) kernel function.

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    I want to get the download link from 2 file-sharing website below, required code is written in php and stable operation. - [login to view URL],304056,gallery,1,[login to view URL] - http://lolabits.es/AdrielxD/One+Piece/One+Piece+700+

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    explain neural networks mathematically.E.g:MLP,Perceptron,RBF,LVQ,KOHONEN,Adaline Exmples which you might be required to solve are uploaded.

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    Examples which you might be required to solve mathematically in this project are attached.

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    I want source code+thesis for to complete project using Bacterial foraging optimization and Support Vector machine with Radial basis function (RBF) for breast cancer with high accuracy around 98.8 or better

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    Two-wheeled self-balancing robot is a kind of unstable, nonlinear, strong coupling system. On the basis of analyzing the method of Linear Quadratic Regulator(LQR) and PID-BP-RBF, this paper proposed a new balance control method based on LQR and Neural Network(NN)(LQR-NN).In this method, the balance controller is designed as a LQR controller contained

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    ...want the quality shown by some people. I want you to go check out rick boer's cosplay of assassins creed unity he did a perfect job with Arno Dorian. check this link [login to view URL] Please look at the requirements and the raw materials needed to execute this project. Do

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    Probably easy project for those who know RBF and option pricing. Need help to apply Radial Basis Function in financial model.

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    Probably easy project for those who know RBF and option pricing. Need help to apply Radial Basis Function in financial model.

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    I need someone to write appr. 8000-10000 words about the main st...vs unsupervised briefly mention about the classifiers Nearest-Neighbor Rule Minimum distance classifier Cascade Classifier Bayesian Classifier Radial basis function network (RBF) Explain classifiers ANN & SVM broadly advantages and disadvantages *Artificial Neural Network *SVM

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    I need someone to write appr. 8000-10000 words ab...unsupervised briefly mention about the classifiers Nearest-Neighbor Rule Minimum distance classifier Cascade Classifier Bayesian Classifier Radial basis function network (RBF) Explain classifiers ANN & SVM broadly advantages and disadvantages *Artificial Neural Network *SVM

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    I want to develop n artificial neural network using radial basis function either in c/or using matlab code

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    Objective: To design and code radial basis functions neural network (RBF NN) and multiplayer perceptron (MLP) with backpropagation learning for solving the intertwined spiral learning and classification. Input: The two spirals are presented by x and y coordinates and a teaching signal specifying to which spiral the point belongs. Output: The

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    ...market performance using hybrid Radial Basis Function network (fuzzy logic). Here I have already compared the performance of mlp & rbf but these two methods are already existing now. I want to make a hybridization of rbf through fuzzy logic. I want to make the performance best by training & testing data sets of Google market or yahoo stock or others

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    ...market performance using hybrid Radial Basis Function network (fuzzy logic). Here I have already compared the performance of mlp & rbf but these two methods are already existing now. I want to make a hybridization of rbf through fuzzy logic. I want to make the performance best by training & testing data sets of Google market or yahoo stock or others

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    NEED A metlab code to complete the task given below ------------------------------------------------------------------------------- The main aim of the project is to develop novel artificial neural network equalizer to mitigate the linear and nonlinear distortion like ISI, CCI and burst noise interferences occurs in the communication channel and can

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    NEED A metlab code to complete the task given below ------------------------------------------------------------------------------- The main aim of the project is to develop novel artificial neural network equalizer to mitigate the linear and nonlinear distortion like ISI, CCI and burst noise interferences occurs in the communication channel and can

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    You also need to know Probability. There is a research paper which is about the function approximation of RBF network and RBF network with node fault. U juz need to do the part of the paper. It is about the performance of RBF network under faulty situation. First of all, I need you to find out the trainning set error and test set error of three

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    You also need to know Probability. There is a research paper which is about the function approximation of RBF network and RBF network with node fault. Given an trainning set, find out the weight vector, fed the training set back, then got the training set error Fed the test set in the trained networks, test set error can be found Using the

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    ...is a research paper which is about RBF network. The goal is to reproduce the simulation of the paper. In page 19, there is simulation which uses the equation and formula shown in the paper. I need to have to see ur progress in every 2 days and i also need a short report which describles each segment of matlab code. The paper is straight forward

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    You also need to know Probability. There is a research paper which is about the function approximation of RBF network and RBF network with node fault.

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    ...which is about the function approximation of RBF network and RBF network with node fault. It includes many sections and I would like to invite you to finish the first three tasks before going deeply. Detail: (1)Given a trainning set and using least square fitting method, find out the weight vector of RBF network, use that weight vector and test set

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    ...or 1. I need the following types of networks all implemented in: *********************************************** 1 Feedforward neural network 2 Radial basis function (RBF) network 3 Kohonen self-organizing network 4 Learning Vector Quantization 5 Recurrent neural network 5.1 Fully recurrent network 5.1.1 Hopfield network 5.1.2 Boltzmann

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    Multilayer perceptron (MLP) (trained with back propagation learning algorithm) takes large compu...extensive simulation study is presented to show the effectiveness of proposed classi?er. Results are compared with MLP, support vector machine(SVM) with radial basis function (RBF) kernel, FLANN with gradiend descent learning and fuzzy swarm net (FSN).

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    There is a paper about the simulation of RBF network. The paper included all neccessary equations. The results are also mentioned in the paper. juz want to get the Matlab coding written by others to compare with mine. You may need to hv some background about Probability and statistics in order to know what the paper say. if interested please email me

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    It is a very simple project for someone who knows matlab and pattern recognition. I have 3 types of data Data_1, Data_2,and Data_3. So the training set are 5 pattern for data_1, 10 pattern for Data_2 and Data_3 and the width of the pattern 16 output. Consequently the total of training is 25 patterns The testing set are 20 pattern for Data_1 and

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    Need to solve the paper attached to get all the results in the paper using matlab in easy way to understand

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    I require to a coder in matlab for project tumour classification based using ANN techniques and soft [login to view URL] project like implementation in SVM,RBF,modified RBF, Fuzzy,Evolutionary algorithms - 100 USD.

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    ...scaled image. A basic image processing project. Have a look to these pages as a reference: [login to view URL] [login to view URL] [login to view URL] [login to view URL] houghTransformLineAcc =? gethoughTransformLineAccImage(int

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    Project Title: Development of MLP and RBF Neural Network Model Primary Skill: Statistical Algorithm Development Additional Skills: Statistical knowledge of predictive modeling algorithms for handling large data is essential. Project Description: We need professionals to develop the following Predictive models for modeling large data coming

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    ...[login to view URL]) 6. The following functions must be available: - Show multiple images from a JP2 file - Extract XML information of the JP2 file - Save shown JP2 to JPG file, either with or without image enhancements 8. it must be possible to re size the component. We require the following deliverable's: 1. Source code 2. Component

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    ...Please, post your bid and sample of your work. Thank you ## Deliverables 1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done. 2) Deliverables must be in ready-to-run condition, as follows (depending on the nature of the deliverables): a) For web sites or other server-side deliverables

    PHP
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    ...the Core Vector Machine algorithm as described in the attached PDF as a C++ library. The top-level API should be equivalent to the libsvm API (libsvm is attached). Only the RBF kernel needs to be implemented; you do not need to implement the linear, polynomial, or sigmoid kernels. Write programs similar to libsvm's svm-train and svm-predict to demonstrate

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    ...zmiana współczynnika uczenia, bezwładnoci czy tempa zmian? c) Które z algorytmów uczenia nie nadają się do treningu SSN dla danych kwiatów IRIS? Utwórz nową sieć typu RBF i dobierz jej parametry, a następnie przeprować proces uczenia (wykorzystując dane z zadania 1) w oparciu o dostępne algorytmy uczenia. Porównaj błędy i jakość nauczon...

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    concevoir et valider des modèles neuronaux (RBF) pour la prédiction des diverses

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    GAP-RBF kullanılarak JPEG formatındaki sıkıştırılmış dosyalarn bozulma oranını bulmak.

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    Sadece GAP-RBF kısmı eksik. bu kısmın tamamlanmasını istiyorum . maksimum 2 günüm var. Bu kısım RBFle de yapılırsa problem çıkmaz. Bu sürede tamamlayacak kişilerin bana ulaşmasını bekliyorum

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