Questions tagged [prediction]

For questions about prediction of a certain quantitative or a qualitative value by an algorithm

Filter by
Sorted by
Tagged with
6
votes
1answer
128 views

How do I predict if it is rainy or not?

I'm building a weather station, where I'm sensing temperature, humidity, air pressure, brightness, $CO_2$, but I don't have a raindrop sensor. Is it possible to create an AI which can say if it's ...
1
vote
1answer
64 views

predict waste generation

I am starting a project to predict the generation of urban waste. I have found very little information on this topic on the internet. I would be very useful advice on how to approach this topic, and ...
2
votes
1answer
245 views

How to implement an artificial network that outputs an integer within a range?

The goal is to implement an artificial network that, based on training samples labelled with positive integers, outputs a positive integer. Perhaps I am not searching for the correct thing but all ...
5
votes
2answers
237 views

Can one use an Artificial Neural Network to determine the size of an object in a photograph?

My question relates to but doesn't duplicate a question that has been asked here. I've Googled a lot for an answer to the question: Can you find the dimensions of an object in a photo if you don't ...
3
votes
1answer
146 views

Are any organisations using AI to predict weather?

This seems like a natural fit, though I've not heard of any, yet. I would love to know if any MET office, government, military or academic institution has taken all (or sizeable portion of) recorded ...
1
vote
0answers
73 views

Using CNN LSTMs for prediction of images from image series

I have the following setup for a prediction task: I want to predict entire pictures from previously given pictures. In my case, only 2 pixels in every frame are neither black nor white, they are some ...
1
vote
0answers
31 views

How to visualize/interpret text prediction model results?

I am using LSTM model to predict the next xml markup from an input seed. I have trained my model on 1500 xml files. Each xml file is generated randomly. I am wondering if there is a way to visualize ...
2
votes
0answers
150 views

Deep learning model (LSTM) with temporal and non temporal attributes

I'm working on a project to predict the usage of all the files in a filesystem in near future based on the metadata of the file system for past 6 months. I've got the following attributes about the ...
-2
votes
1answer
29 views

How to identify correlation in product sales and generate new products

My final project at college is a "selling software", where i have the list of products (ice cream) and the sells. Its all done, but since im new with ML, i dont know which lib to use to achieve my ...
1
vote
0answers
60 views

Will commercialisation and widespread use of A.I in security and surveillance and other household products threaten free will or endanger privacy?

Everything from facial recognition to the google home is coming equiped with A.I and it is being widely used , If autonomously connected to the internet , will A.I pose a threat to privacy or will it ...
1
vote
0answers
40 views

Best way to predict future frame of movie or game?

Using a neural network the method seems to be that you end up with a probability for each possible outcome. To predict the next frame in a monochrome movie of size 400x400 with 8 shades of gray, it ...
2
votes
1answer
153 views

What is the difference between a feed-forward neural network and a liquid state machine?

I have used a FFNN and LSM to perform the same task, namely, to predict the sentence "How are you". The LSM gave me more accurate results than FFNN. However, the LSM did not produce perfect prediction ...
2
votes
1answer
191 views

How to solve Planning in Artificial intelligence using Strips

I have following planning problem
3
votes
1answer
187 views

RTS Construction Layout AI

So, I am trying to create an AI to handle the construction layout of a real time strategy game like Age of Empires II. The process has too many steps to be handled effectively by brute force, but also ...
1
vote
0answers
267 views

Application of Ai to task scheduling problems on heterogenous platforms

Let's say we have a cluster of 20-2000 heterogenous compute nodes. Consider for example the parallel solution of the helmholtz equation: Now we want to distribute the solution process and, to make ...
3
votes
1answer
96 views

Predict value from image set

I have a large dataset of skin images, each one associated with a hydration value (percentage). Now I'm looking into predicting the hydration value from an image. My thinking: train a CNN on the ...
7
votes
1answer
317 views

How come that the addition of features can decrease the performance of a neural network?

I have a Remaining Useful Life (RUL) prediction problem that I want to solve. When I added two or more features as inputs to my ANN, the accuracy of my ANN has been decreased. More precisely, I've ...
1
vote
1answer
44 views

Predicting popular times

I have a MySQL database that contains datetime for every check-in with an RFID card. I have millions of records in it. It shouts machine learning prediction for me. So I'd like to predict popular ...
2
votes
0answers
67 views

What are suitable predictive analytics models for data from multiple sensors?

I am a newbie in the field of AI/ML. I am trying to implement predictive analytics model on the data generated and collected every minute from a device with sensors. I have two questions: What are ...
1
vote
0answers
743 views

Forecasting and predict using matlab Artificial Neural Network [closed]

I selected the below data set for forecast and predict using artificial neural network as my final year project. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing. I normalized the data set and ...
17
votes
5answers
18k views

Can a neural network be used to predict the next pseudo random number?

Is it possible to feed a neural network the output from a random number generator and expect it learn the hashing (or generator) function, so that it can predict what will be the next generated pseudo-...
7
votes
2answers
234 views

Which predictive algorithm can be used to predict a number given other numbers?

I am currently searching for a supervised learning algorithm that can be used to predict the output given a large enough training set. Here's a simple example. Suppose the training dataset is ...
2
votes
2answers
940 views

Selecting the right algorithm to predict disease from questions

I'm trying to come up with the right algorithm for a system in which the user enter symptoms and we starts triggering questions related to that symptoms and his answers will result a disease which is ...
0
votes
1answer
81 views

What are the pros and cons of using a spatial transformation network to predict the next video frame?

I've read through a few papers on next frame prediction from a sequence of frames and several of them use spatial transformations (STNs). See this as an example. I want to know what are the pros and ...
2
votes
0answers
144 views

Preprocessing of training dataset for machine learning

I'm developing a log analyzer to predict and find errors in an equipment. Each logged data contains the following format: ...
1
vote
1answer
67 views

How many layers and neurons on the layers does a neural network need for for sales prediction?

The inputs (features) and expected output for my ANN are these: Input 1: Product id (number, cast to double) Input 2: Year in the past (1900..2017, cast to double) Input 3: Month of year (1..12, cast ...
9
votes
3answers
601 views

Do I need classification or regression to predict the availability of a user given some features?

While studying data mining methods I have come to understand that there are two main categories: Predictive methods: Classification Regression Descriptive methods: Clustering Association rules ...
2
votes
0answers
133 views

Creating a neural network for predicting next vote in a series of votes [closed]

We are working on a project for creating music based on crowd sourcing. People vote for every note until the vote is closed, and then move on to the next vote until the canvas for the music is filled. ...
12
votes
4answers
1k views

What makes neural networks so good at predictions?

I am new to neural-network and I am trying to understand mathematically what makes neural networks so good at classification problems. By taking the example of a small neural network (for example, ...
3
votes
3answers
377 views

What could possibly replace artificial intelligence?

There is no doubt as to the fact that AI would be replacing a lot of existing technologies, but is AI the ultimate technology which humankind can develop or is their something else which has the ...
2
votes
2answers
303 views

When will artificial intelligence equal human intelligence?

What are the current best estimates as to what year artificial intelligence will be able to score 100 points on the Stanford Binet IQ test?
6
votes
5answers
4k views

When will the number of neurons in AI systems equal the human brain?

Based on fitting to historical data and extrapolation, when is it expected that the number of neurons in AI systems will equal those of the human brain? I'm interested in a possible direct ...
9
votes
1answer
2k views

Selecting the right technique to predict disease from symptoms

I'm trying to come up with the right algorithm for a system in which the user enters a few symptoms and the system has to predict or determine the likelihood that a few selected symptoms are ...
4
votes
2answers
851 views

Predicting chemical reactions using AI

Is there any research which study application of AI into chemistry which can predict the output of certain chemical reactions. So for example, you train the AI about current compounds, substances, ...

1
2