All Questions
Tagged with neural-networkregression
183 questions
3votes
1answer
296views
How to train a model to estimate the coefficients of a coupled ODE?
Consider the coupled ODE system below (Lotka-Volterra equations): $$ \frac{dx}{dt} = \alpha x - \beta x y, \\ \frac{dy}{dt} = - \gamma y + \delta x y , $$ How can I train a model to estimate the ...
- 1,979
1vote
0answers
56views
Difference between Double Descent phenomenon and Benign overfitting
I am trying to wrap my head around understanding the difference between Double descent phenomenon and Benign overfitting. Double descent occurs in a model when the test error rises as the model ...
0votes
0answers
8views
Keep Error Gradient From Being to High Torwards Input Levels
During Gradient Descent, after the error goes from each neuron down to the input layer, it gets really high. How do I fix this?
3votes
1answer
278views
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
0votes
0answers
11views
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 ...
0votes
1answer
52views
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 ...
1vote
1answer
171views
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 ...
0votes
3answers
1kviews
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
0votes
1answer
226views
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
1vote
0answers
23views
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 ...
0votes
1answer
97views
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
0votes
1answer
178views
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 ...
1vote
1answer
137views
improving Neural network regression model
I have the following toy data (which closely mimicks my original larger data used for the project): ...
- 139
1vote
1answer
2kviews
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 ...
0votes
1answer
496views
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, ...
