Questions tagged [prediction]

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

Prediction in the general sense is the prediction of the qualitative or quantitative aspects of a certain value by an algorithm, maybe simple Machine Learning algorithm or an Artificially Intelligent algorithm.

122 questions
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Could a neural network detect primes?

I am not looking for an efficient way to find primes (which of course is a solved problem). This is more of a "what if" question. So, in theory, could you train a neural network to predict whether or not a given number $n$ is composite or prime? How…
Fullk33
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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-random number? Does something like this already…
18
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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, one with 2 inputs, 2 nodes in a hidden layer and 2…
Aditya Gupta
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How to design a neural network when the number of inputs is variable?

I'm looking to design a neural network that can predict which runner wins in a sports game, where the number of runners varies between 2-10. In each case, specific data about the individual runners (for example, the weight, height, average speed in…
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3 answers

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 Since I want to predict the user availability…
9
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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 replication of the human brain, which will need equal…
Tom Hale
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How can I predict the next number in a non-obvious sequence?

I've got an array of integers ranging from -3 to +3. Example: [1, 3, -2, 0, 0, 1] The array has no obvious pattern since it represents bipolar disorder mood swings. What is the most suitable approach to predict the next number in the series? The…
8
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3 answers

Is there any research on the application of AI for drug design?

Is there any research on the application of AI for drug design? For example, you could train a deep learning model about current compounds, substances, structures, and their products and chemical reactions from the existing dataset (basically what…
kenorb
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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 added features like RMS or KURTOSIS (or both). I was…
7
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3 answers

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 {[A=1, B=330, C=1358.238902], result=234.244378} and the…
6
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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 know the distance between the lens and the object,…
6
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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 system with the following features: Ability to read…
4
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1 answer

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 raining or not, with the help of the given data…
Ribisl
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How should I select the features for predicting diseases (in particular when patients specify their health issues)?

My aim is to train a model for predicting diseases. Now, according to this Wikipedia article, diseases are classified based on the following criteria in general: Causes (of the disease) Pathogenesis (the mechanism by which the disease…
4
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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 attached a graph for each of the models, which shows the…
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