I'm looking for some downloadable weather data i can use to train a neural network to do forecasting, where can i find some? Basically things like temperature, humidity, wind speed/direction, anything and everything that might help a neural network do simple forecasting. ...
In nntool, the sample data is formatted as: [0 1 -1; 2 3 1] I have ~8000 data points in a text file. How do I format those points for use here? What does the semicolon signify? ...
Hi. Summary: I'm trying to do classification of some images depending on the angles between body parts. I assume that human body consists of 10 parts(as rectangles) and find the center of each part and calculate the angle of each part by reference to torso. And I have three action categories:Handwave-Walking-Running. My goal is to fi...
I have this code: in = [5 columns of data-points]; out = [1 column of data-points]; net = newfit(in,out,5); net = train(net,in,out); now I want to access the error variable that is generated (so that I can calculate the mean error etc.) run this in a loop, so I want to re-initialize weights between loops. access the variable that s...
Here is my perceptron implementation in ANSI C: #include <stdio.h> #include <stdlib.h> #include <math.h> float randomFloat() { srand(time(NULL)); float r = (float)rand() / (float)RAND_MAX; return r; } int calculateOutput(float weights[], float x, float y) { float sum = x * weights[0] + y * weights[1]; return (sum >...
I am trying to learn programming in python and am also working against a deadline for setting up a neural network which looks like it's going to feature multidirectional associative memory and recurrent connections among other things. While the mathematics for all these things can be accessed from various texts and sources (and is access...
Hi Suppose I am sampling a number of signals at a fixed rate (say once per second) and extracting some metrics from the signals such as, ratio of one to the other, the rate of change, relative rate of change, etc. I've heard that Neural Networks can be of use in discovering relationships. Is this true? If so, what books/internet resource...
I've done my best to make a simple java implementation of the neural network knight's tour finder but I'm completely stumped as to why it fails to work.. there are 6 classes, 3 for the GUI which im pretty sure works fine, and 3 to deal with the actual logic etc. If you are wondering, this is inspired by Yacoby's python offering He h...
I am using net = newfit(in,out,lag(j),{'tansig','tansig'}); to generate a new neural network. The default value of the number of validation checks is 6. I am training a lot of networks and this is taking a lot of time. I guess it doesn't matter if my results are a bit less accurate if they can be made considerably faster. How can ...
I am playing with some neural network simulations. I'd like to get two neural networks sharing the input and output nodes (with other nodes being distinct and part of two different routes) to compete. Are there any examples/standard algorithms I should look at? Is this an appropriate question for this site? Right now I'm using a thresho...
All the examples I have seen of neural networks are for a fixed set of inputs which works good for images and fixed length data. How do you deal with variable length data such sentances, queries or source code. Is there a way to encode variable length data into fixed length inputs and still get the generalization properties of neural n...
I do know that feedforward multi-layer neural networks with backprop are used with Reinforcement Learning as to help it generalize the actions our agent does. This is, if we have a big state space, we can do some actions, and they will help generalize over the whole state space. What do recurrent neural networks do, instead? To what tas...
Is there a .NET-library available for a continuous hopfield network. And if there is, is it open-source. ...
I don't have much experience in machine learning, pattern recognition, data mining, etc. and in their underlying theory and systems. I would like to develop an artificial model of the time it takes a human to make a move in a given Sudoku puzzle. So what I'm looking for as an output from the machine learning process is a model that can...
Any examples, tips, guidance for the following scenario? I have retrieved updates from several different news websites. I then analyse that information to predict on current trend in the world. I could only find the information on data mining when searching for above idea, but it is for database systems. While data mining is similar to...
is there an open source framework? is there some sort of IDE that will get me started in this area ? ...
How can I set Neural Networks so they accept and output a continuous range of values instead of a discrete ones? From what I recall from doing a Neural Network class a couple of years ago, the activation function would be a sigmoid, which yields a value between 0 and 1. If I want my neural network to yield a real valued scalar, what shou...
For my university project I am creating a neural network that can classify the likelihood that a credit card transaction is fraudulent or not. I am training with backpropagation. I am writing this in Java. I would like to apply multithreading, because my computer is a quad-core i7. It bugs me to spend hours training and see most of m...
I am developing an application that provides contextual knowledge lookup. The application is in its design phase. I need to know whether a simple graph structure and a traversal algorithm would be sufficient or whether I should go with a neural network. I want to go with the most long-term solution. I am thinking of representing indivi...
I have been using cos and sin till now but my neural network doesn't give good results with them. I cant use sigmoid or tanh. for sigmoid -> 1/1+e^-u the value of u is very big in my case so the function becomes useless.Similarly for tanh. Please help. ...