All Questions
Tagged with neural-network regression
187
questions
3
votes
1
answer
233
views
What ML model for regression given tabular AND image data?
I'd like to predict the power production of a windfarm given the wind speed, its direction and other variables related to the specific wind turbines. However, due to wake effects (wind speed decreases ...
- 133
0
votes
0
answers
9
views
Positional Encoding for FFNN?
Here is my problem: I have input [x1,..,xt,n1,..,nt,1,2,...,t] where there is a missing timestep xi, and I use neighboring time series (found with KNN) n1,...,nt to add more features, as well as time ...
0
votes
1
answer
42
views
How do I give weight to recent time points when predicting another closeby time point?
I am building a normal feed-forward neural network to predict the value of a masked time point using regression, e.g. I have values for x at times 1, 2, and 4, and I want to predict its value at time ...
0
votes
0
answers
12
views
How can I combine/pool of the results of regression with neural network?
My study has ten imputed dependent variables (plausible values). After separately analyzing each dependent variable using a regression neural network (NN), I must combine/pool the results. I tried ...
- 1
1
vote
1
answer
106
views
What's wrong with my implementation of an MLP?
I'm trying to predict housing prices from a Kaggle dataset using an MLP with 3 hidden layers (10 neurons each). Having read about MLPs and backprop in the CS229 notes, I tried to do my own ...
0
votes
2
answers
101
views
Best model for regression in this case?
I am doing some modeling to predict a variable of interest given a big set of features (500) for which I expect a considerable amount of interactions happening at least among some of them.
I first ...
- 111
0
votes
0
answers
22
views
RMSE of whole and part of test dataset
Can anybody help me to understand the behavior of metrics (RMSE namely) when testing model? I have NN with 1 hidden layer for regression task. RMSE equal 0.07 for external test dataset. But if I break ...
- 1
0
votes
1
answer
133
views
different range of target values in neural network
I am working on a neural network regression code. The dataset includes 14 features in the range value between -1 and 1. while the target variable is changing among (0.000759) to (1100).
The target ...
- 1
1
vote
0
answers
23
views
What machine learning technique can help generate spectrum line profiles?
I'm trying to work with Calcium-K line profiles from the Sun.
Image for reference. Please ignore the labels on the image and note that my profiles are not in image format (more info below).
I have ...
0
votes
1
answer
53
views
Variable length training data for tabular data neural network regression
I want to predict the age of a parent using the ages of its children.
The problem is that in the data each parent has different numbers of children. How do I create a model that can take variable ...
- 101
0
votes
1
answer
140
views
Getting an Value Error from using the mean squared error loss function
I am training a feed-forward neural network that takes in the input of shape (4040 ,2) and output of shape (4040, 4, 51).
I ...
1
vote
1
answer
89
views
improving Neural network regression model
I have the following toy data (which closely mimicks my original larger data used for the project):
...
- 139
1
vote
1
answer
1k
views
Multiple-input neural networks with different data shapes and features - but shared dimensions
I want to perform a regression with a Neural Network using (environmental) spatiotemporal data. They share a target variable and have the same dimensions (latitude, longitude and time) but they are ...
- 13
0
votes
1
answer
352
views
Can I change the number of inputs to a keras model while preserving the trained existing weights
I have a simple Sequential keras model with 150 Inputs.
Some of these are simply OneHotEncoded values. Now I would like to add more options to the OneHotEncoder.
As an example: I previously had Blue, ...
- 3
0
votes
0
answers
67
views
Neural network to predict Y = x1*x2*x3
My training data consists of 3 variables X1, X2, X3 such that
...
- 111