Newest 'rbf-network' Questions

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RBF Network for classification

I would like to know how it is calculated the outcomes (i.e. the output layer output) of a RBF Network for a classification problem. My code fits the hidden->output weights with linear regression ...

asked Aug 11 at 21:08

joann2555

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Why aren't neural networks used with RBF activation functions (or other non-monotonic ones)?

In most work I've seen, MLPs (multilayer perceptron, the most typical feedforward neural network) and RBF (radial basis function) networks are compared as distinct models, where MLP neuron outputs $\...

neural-networks perceptron nonlinearity rbf-network

asked May 26 at 10:12

Christabella Irwanto

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What is the role of length scale bound in sklearn Radial Basis Function

The radial basis function provided by SkLearn (reference) has two parameters: length scale and length scale bounds. I understand that the length scale controls the importance of the coordinates of the ...

python scikit-learn rbf-kernel rbf-network

asked Feb 15 at 5:23

DanielTheRocketMan

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Is SVM RBF applied to both classes?

Lets say i have following 1D data (position on x), color is target class and I need a classifier which classifies green from red: I decided to use SVM. Data is clearly not linearly separable, so i ...

svm transform rbf-kernel rbf-network

asked Nov 26 '19 at 21:01

Jan Musil

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Gaussian RBF vs KNN explanation

I was studying SVM ML alghorythm and I was wondering about solution for non-linear cases. As I understand it for know, SVM tries to find hyperplane or object in defined n-dimensional space, which ...

machine-learning classification svm rbf-kernel rbf-network

asked Nov 26 '19 at 16:12

Jan Musil

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Adding new center in an RBF network without memorizing previous training examples

Suppose we train an RBF by minimizing the LSE on a couple of training points and we are doing it incrementally in an online fashion. So basically we update the QR factorization using e.g. Givens ...

machine-learning online radial-basis rbf-network rbf-kernel

asked Aug 30 '18 at 11:37

BS.

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243 views

Why SVM with RBF kernel always classify to one group?

I've downloaded Dog vs Cat from kaggle dataset and utilize OpenCv 3.2 Machine Learning library and c++ language, And I choose 60-40(percent for train/test) from training set(kaggle test set do not ...

svm c++ rbf-network

asked Mar 7 '17 at 16:53

frdf

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Connection between Gaussian Process Regression and regression with Gaussian basis functions

The other day a coworker was claiming that Gaussian Process Regression with a squared exponential kernel (from now on, GPR) for a data set $D=\{\mathbf{x}_i,y_i\}_{i=1}^N$ could be interpreted as just ...

regression gaussian-process rbf-network

asked Jan 31 '17 at 12:24

DeltaIV

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RBF versus standard classical analysis for empirical power functions

Sorry if the previous post caused any inconvenience to you. I am a newbie in Radial Basis Functions (RBF) and this is the first time I post a question. I have 80 pairs of Y=body weight and X= body ...

regression nonlinear-regression rbf-network

asked Jan 30 '17 at 20:17

user147265

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98 views

Why using RBF helps?

Let's say we are doing logistic regression for classification. When the features are used directly, it means we are using some characteristics (features) of the object to classify them. But when using ...

machine-learning logistic classification rbf-network

asked Dec 9 '16 at 19:19

Rakib

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How do the mapping function phi(x) of a RBF kernel?

I'm trying to implement a paper that used SVM and an improve of it with Bayesian decision theory. How do I do the mapping feature $\phi(x)$ that appears in the decision function? The paper used an ...

svm kernel-trick rbf-network structured-svm

asked Oct 19 '16 at 16:59

J. A. Riascos

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1answer

196 views

Better classification performance when using an RBF kernel function in high dimensional space?

I'm learning about SVM's and understand that boosting something into a higher dimension can sometimes help separate the data better. However, if I were to perform 1 nearest neighbor with the RBF ...

machine-learning svm kernel-trick kernel-smoothing rbf-network

asked Oct 18 '16 at 21:23

ryan

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1k views

Interpolation with radial basis functions (RBF) is failing for some reason

This is not a pure programming question. I am trying to understand what's going on when I try to use RBF with 5 centers. I am using R to exemplify, see below. My data set: ...

r interpolation rbf-network

asked Sep 9 '16 at 12:15

DeltaIV

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548 views

Tuning hyperparameters of Radial Basis Function Network for regression

I started using Radial Basis Function Networks for regression (see here for an overview of RBFNs). The specifics are: $10^3 < n < 10^4$ input points, $x^{(i)} \in \mathbb{R}^d$, where $d$ is ...

regression machine-learning hyperparameter rbf-network

asked Aug 29 '16 at 19:48

lacerbi

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votes

2answers

12k views

What is the difference between MLP and RBF?

What are the main differences between two types of feedforward networks such as multilayer perceptrons (MLP) and radial basis function (RBF)? What are the fundamental differences between these two ...

terminology model-comparison perceptron rbf-network

asked Aug 6 '16 at 19:10

kenorb

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1answer

436 views

RBF network normalization, standardization in MATLAB

First of all, is it good to do normalization and standardization for Radial basis neural network? Does MATLAB do that automatically for RBF? I've read that MATLAB does normalization and ...

neural-networks matlab rbf-network

asked Jul 26 '16 at 20:03

EdWood

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votes

1answer

1k views

Delimitation: feed forward- and radial basis networks

I am trying to get myself involved with the topic of neural networks for the purpose of a GPGPU project at university. Now, Wikipedia distinguishes between "Feed forward neural networks" and "Radial ...

neural-networks rbf-network

asked Apr 27 '16 at 17:36

Tolar

235 bronze badges

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1answer

212 views

RBF: Linear and non linear cases

I had a course in machine learning but I still have some questions about the RBF (Radial Basis Functions): What is the difference between RBF in linear and non linear cases? How does the RBF work in ...

machine-learning rbf-network

asked Jan 22 '16 at 17:57

ROS_OPENCV

1232 bronze badges

7

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1answer

8k views

When to use RBF networks instead of multilayer perceptron?

I understand that a radial basis function neural network (RBF) usually has 1 hidden layer, and it differs from a multi-layer perceptron (MLP) via its activation and combination functions among other ...

machine-learning neural-networks perceptron rbf-network

asked Jan 13 '16 at 17:35

confused00

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1answer

2k views

Is this the right way to apply grid search and 5 fold validation with sklearn?

I am using support vector machines and the rbf kernel to learn. I would like to split my training data where 80% is the training set and 20% is the validation set. Then I would like to apply a grid ...

svm python scikit-learn rbf-network

asked Nov 3 '15 at 11:17

ksm001

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votes

1answer

451 views

Does a radial basis function network work in high dimensions?

It seems that a single-layer radial basis function network with normalized weights is the same thing as kernel smoothing (see e.g. Haykin Neural Networks: a Comprehensive Foundation, Section 5.12). ...

svm kernel-smoothing k-nearest-neighbour smoothing rbf-network

asked Jul 31 '15 at 2:00

Kochede

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0answers

944 views

How are radial basis functions (RBFs) networks extended to use multiple layers?

I am trying to understand the interpretation of radial basis functions (RBFs) as networks and then trying to understand the relationship it has to "normal" neural networks and how to extend them to ...

machine-learning neural-networks rbf-network basis-function

asked Jun 23 '15 at 22:29

Charlie Parker

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13

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1answer

7k views

Why don't people use deeper RBFs or RBF in combination with MLP?

So when looking at Radial Basis Function Neural Networks, I've noticed that people only ever recommend the usage of 1 hidden layer, whereas with multilayer perceptron neural networks more layers is ...

machine-learning neural-networks rbf-network

asked May 10 '15 at 21:34

user1646196

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2

votes

1answer

143 views

Implementing a Radial Basis Function Network. Question about missing information

I would like to implement a Radial Basis Function (Neural) Network. Specifically, I would like to implement the network as described in this paper: http://www.ncbi.nlm.nih.gov/pubmed/15732389. The ...

neural-networks rbf-network

asked Apr 23 '15 at 12:57

Clifford

1212 bronze badges

2

votes

1answer

2k views

What are the best R packages for a classification problem with use of Neural networks [closed]

Surfing on the internet shows me that there are a lot of different packages and functions which can be used to train neural networks via R. packages such as 'RSNNS', 'nnet','neuralnet', etc. I'm ...

r neural-networks svm perceptron rbf-network

asked Apr 21 '15 at 14:55

karmabob

1255 bronze badges

4

votes

2answers

1k views

Recommended/estimated number of radial basis functions in RBFN

I am attempting to make a Radial Basis Function Network to see if a relationship exists between input/output data that I have been collecting. I have hit a bit of a brick wall with a few issues, and ...

neural-networks optimization kernel-trick distance-functions rbf-network

asked Mar 9 '15 at 21:35

Paul

1514 bronze badges

1

vote

2answers

193 views

Radial basis function network - G function?

I'm trying to understand Radial Basis Function Network. I have (don' know how to write proper formatter mathematical functions here..): $x = [ -1.0000, -0.5000, 0,0.5000,1.0000]$ $y_i = f(x_i)$ $f(...

classification neural-networks matlab distance-functions rbf-network

asked Dec 15 '13 at 16:01

Andrius

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Questions tagged [rbf-network]

RBF Network for classification

Why aren't neural networks used with RBF activation functions (or other non-monotonic ones)?

What is the role of length scale bound in sklearn Radial Basis Function

Is SVM RBF applied to both classes?

Gaussian RBF vs KNN explanation

Adding new center in an RBF network without memorizing previous training examples

Why SVM with RBF kernel always classify to one group?

Connection between Gaussian Process Regression and regression with Gaussian basis functions

RBF versus standard classical analysis for empirical power functions

Why using RBF helps?

How do the mapping function phi(x) of a RBF kernel?

Better classification performance when using an RBF kernel function in high dimensional space?

Interpolation with radial basis functions (RBF) is failing for some reason

Tuning hyperparameters of Radial Basis Function Network for regression

What is the difference between MLP and RBF?

RBF network normalization, standardization in MATLAB

Delimitation: feed forward- and radial basis networks

RBF: Linear and non linear cases

When to use RBF networks instead of multilayer perceptron?

Is this the right way to apply grid search and 5 fold validation with sklearn?

Does a radial basis function network work in high dimensions?

How are radial basis functions (RBFs) networks extended to use multiple layers?

Why don't people use deeper RBFs or RBF in combination with MLP?

Implementing a Radial Basis Function Network. Question about missing information

What are the best R packages for a classification problem with use of Neural networks [closed]

Recommended/estimated number of radial basis functions in RBFN

Radial basis function network - G function?

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Questions tagged [rbf-network]

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