Questions tagged [prediction]

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

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18
votes
5answers
19k 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-...
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, ...
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 ...
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 ...
7
votes
1answer
329 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 ...
7
votes
2answers
240 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 ...
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 ...
6
votes
1answer
81 views

Suicide Predictor and Locator

Suicide is on the increase in my country and most victims tend to leave early traces from text messages, social media accounts, search engine queries. So I came up with the idea to develop an AI ...
6
votes
1answer
130 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 ...
5
votes
2answers
244 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 ...
4
votes
2answers
862 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, ...
4
votes
0answers
67 views

RNN models displays upper limit on predictions

I have trained a RNN, GRU, and LSTM on the same dataset, and looking at their respective predictions I have observed, that they all display an upper limit on the value they can predict. I have ...
3
votes
2answers
102 views

Why is it harder to achieve good results using neural network based algorithms for multi step time series forecasting?

There are different kinds of machine learning algorithms, both univariate and multivariate, that are used for time series forecasting: for example ARIMA, VAR or AR. Why is it harder (compared to ...
3
votes
3answers
379 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 ...
3
votes
2answers
96 views

How do I predict the occurrence of rare events?

I am trying to predict crime. I have data with factors: location, keyword description of the crime, time crime occurred and so on. This is for crimes that occurred in the past. I would like to treat ...
3
votes
2answers
71 views

Why are the terms classification and prediction used as synonyms in the context of deep learning?

Why are the terms classification and prediction used as synonyms especially when it comes to deep learning? For example, a CNN predicts the handwritten digit. To me, a prediction is telling the next ...
3
votes
2answers
138 views

What kind of neural network architecture is suitable for variable length block-like time series data?

I'm not sure what this type of data is called, so I will give an example of the type of data I am working with: A city records its inflow and outflow of different types of vehicles every hour. More ...
3
votes
2answers
48 views

Can a data compression function be used to make predictions?

I've heard that prediction is equivalent to data compression. Is there a way to take a compression function and use it to create an AI that predicts?
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 ...
3
votes
5answers
65 views

How can artificial intelligence predict the next possible moves of the player?

When you play video games, sometimes there is an AI that attempts to predict what are you going to do. For example, in the Candy Crush game, if you finish the level and you still have moves ...
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 ...
3
votes
1answer
102 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 ...
3
votes
0answers
46 views

How should I select the features for predicting diseases?

My aim is to create a trained model for predicting diseases. Now diseases are classified based on the following criteria in general: Causes of the Disease Pathogenesis (the mechanism by which the ...
2
votes
2answers
267 views

Can a neural network be used to predict a sequence of integers based on dataset of previously produced random numbers?

What i really want to do, is to predict an integer sequence of (5 numbers with values from 1 to 50) for example based on a big dataset of other 5 numbers sequences with same values range created by ...
2
votes
1answer
266 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 ...
2
votes
2answers
945 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 ...
2
votes
1answer
41 views

Which machine learning approach can be used to predict a univariate value?

I have a stream of data coming in like below (random numbers 0-9) 7, 7, 0, 0, 8, 9, 2, 7, 3, 8, 2, 8, 5, 7, 0, 8, 7, 8, 5, 3, 2, 6, 1, 9, 5, 7, 5, 3, 4, 9, 1, 3, 5, 5, 0, 7, 7, 5, 2, 8, 8, 7, 5, 5,...
2
votes
2answers
304 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?
2
votes
1answer
76 views

What are modern state-of-the-art solutions in prediction of time-series?

I wanted to ask you about the newest achievements in time series analysis (mostly prediction). What state-of-the-art solutions (as in frameworks, papers, related projects) do you know that can be used ...
2
votes
2answers
69 views

Why is my model accuracy high in train-test split but actually worse than chance in validation set?

I have trained a XGboost model to predict survival for the Kaggle Titanic ML competition. As with all Kaggle competitions there is a train dataset with the target ...
2
votes
1answer
29 views

Predicting a day's data

I have a dataset containing timestamp and temperature. For each day, I have 1440 values viz., I have data for every minute of that day(60minutes * 24hrs = 1440). The Dataset looks like this: As an ...
2
votes
1answer
69 views

Which predictive algorithm is most appropriate for a proceeding situation?

I'm new to artificial intelligence. I am looking for the most appropriate AI solution for my application, which is developing an algorithm to predict a proceeding situation (edited: I want my ...
2
votes
1answer
46 views

What is the prediction accuracy?

In simple words, what is the prediction accuracy? What is it based on? How does it help? When is it used?
2
votes
1answer
157 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
193 views

How to solve Planning in Artificial intelligence using Strips

I have following planning problem
2
votes
0answers
53 views

How I can predict the next number in a sequence with a neural network?

I've been dabbling with machine learning and neural networks (namely, resnet50) for a few months now, mostly doing image recognition. I am currently trying to make a program that, given a string of ...
2
votes
1answer
67 views

AI predicting human behaviour

Is there AI technology out there or being developed that can predict human behaviour, given that we as humans are irrational decision-makers? Edit: I'm looking at this from an economic standpoint - ...
2
votes
0answers
32 views

How can I predict the nutrients in dishes given the ingredients used to prepare them?

I want to know which algorithm will work most efficiently for calculating nutrients present in a food dish if I am giving the ingredients used in the food. Basically, let us assume that I want to make ...
2
votes
0answers
23 views

Choosing neural network output for prediction (regression) of a dynamical system

I’m trying to train a neural network to approximate the output of a dynamical system $dy/dt=f\left(y(t), u(t) \right)$, namely, given $y(0)$ and $u(t_i), i=1,2...N$ I want the network to predict $y(...
2
votes
0answers
134 views

Why is the transformer for time series forecasting faster than RNN?

I've been reading different papers which implements the Transformer for time series forecasting. Most of the them are claiming that the training time is significantly faster then using a normal RNN. ...
2
votes
0answers
18 views

How to choose the suitable Neural Network Architecture for Regression Tasks

so I'm working on a Project where I want to predict the Vehicle Position from the Vehicle Data like speed, acceleration etc.. now the data that I have comes also with a timestamp for each sample ( I ...
2
votes
0answers
68 views

Spike detection in time series using Artificial Neural Networks

I'm quite new in ANNs. I intend to use ANNs for predicting spike points in time series right before they happen. I've already used LSTM for another scenario, and I know that they can be used in ...
2
votes
3answers
79 views

Predict best price using neural network?

Our customer runs a tour agency. He has an excel spreadsheet containing the following information for people that have contacted them: Customer name, country, tour duration (requested by customer), ...
2
votes
0answers
157 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
0answers
68 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 ...
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: ...
2
votes
0answers
134 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. ...
1
vote
1answer
44 views

What is the best approach to build a self-learning AI chatbot?

I am a novice in AI and I like to build a chatbot to predict diseases using patient narration as input. Initially, I simply want to train my chatbot on 1 disease only. And once this initial milestone ...
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 ...
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 ...