Network structure inspired by simplified models of biological neurons (brain cells). Neural networks are trained to "learn" by supervised and unsupervised techniques, and can be used to solve optimization problems, approximation problems, classify patterns, and combinations thereof.
1
vote
0answers
4 views
Neural Network Backpropagation
I am trying to understand the error backpropagation algorithm to be used in Artificial Neural Networks.
As far as I understand, each neuron has as an output the result of a sigmoid function, which ...
0
votes
0answers
11 views
What is the best way to test my NN simulation results in Matlab?
I used the Neural Network Toolbox in Matlab to perform a curve fitting simulation.
What are the best options to check the quality of the outputs. Since I have a large data set its difficult to get a ...
0
votes
1answer
12 views
Designing Neural Networks
I am learning about Neural Networks and back-propagation. I think I understand how the network works, in terms of input, output, hidden layers, weights, bias etc However, I still don't fully ...
0
votes
0answers
8 views
Using Back Propagation Learning in Aforge
I'm new to neural networks and I'm using Aforge Neural network library for a character recognition task. I want to use the back propagation to train my network. Here's the code given in the AForge ...
2
votes
1answer
43 views
MLP Neural Network: calculating the gradient (matrices)
What is a good implementation for calculating the gradient in a n-layered neural network?
Weight layers:
First layer weights: (n_inputs+1, n_units_layer)-matrix
Hidden layer ...
1
vote
1answer
26 views
scaling inputs data to neural network
Do we have to scale input data for neural network? How does it affect the final solution of neural network?
I've tried to find some reliable sources on that. The book "elements of statistical ...
0
votes
0answers
20 views
Pybrain outputs same result for any input
I am trying to train a simple neural network with Pybrain. After training I want to confirm that the nn is working as intended, so I activate the same data that I used to train it with. However every ...
1
vote
1answer
32 views
pybrain prediction is only float. I need integer, boolean and string
I am using this code and try to predict the final number of a sequence.
The problem is that the neural network predict all the time float numbers.
Is there any way to fix the type of the sample? I ...
1
vote
0answers
10 views
Matlab - Neural Network Toolbox - Help Needed
I'm quite new to the NN Toolbox in Matlab and I would appreciate some help.
I'm trying to do a fluid dynamics simulation (Input - flow velocities, flow rates, diameters etc. - Output - pressure ...
0
votes
2answers
39 views
Recurrent Neural Network Training and Test Sets
I'm constructing an rNN optimized by a GA. This happens to be my first project in this area, so I got confused by certain things. It would be great if someone could help me out with understanding ...
1
vote
3answers
77 views
Convert PMML - Model (Artificial Neural Network) to Java Code
I have a PMML file of a trained Artificial Neural Network (ANN). I would like to create a Java method which simply takes in the inputs and returns the targeted value.
This seems pretty easy, but I do ...
78
votes
6answers
18k views
What are advantages of Artificial Neural Networks over Support Vector Machines? [closed]
ANN (Artificial Neural Networks) and SVM (Support Vector Machines) are two popular strategies for supervised machine learning and classification. It's not often clear which method is better for a ...
4
votes
2answers
3k views
Existing OCR scripts in JavaScript
I have an idea for a CMS enhancement, to extract text information from images (for example, scanned documents), and want to know if there is already anything out there to help me along?
Basically, I ...
39
votes
4answers
18k views
Role of Bias in Neural Networks
I'm a newbie to the world of ANN. I'm aware of the Gradient Descent and the Back-propagation Theorem. What I don't get is , when is using a bias important? and how?
For example, when mapping the AND ...
46
votes
7answers
21k views
Good open-source neural network Python library?
I'm looking for a good (and, if possible, simple) open-source Python library to do neural network computations. It should be able to deal with multiple-layer networks and backpropagation learning. ...
