Researchers used convolutional neural networks and Sentinel-2 satellite imagery to classify tree species in Austrian forests. By integrating mixed species classes and spatial autocorrelation ...

A hierarchical classification model and additional data, ... Neural network has learned to identify tree species. Skolkovo Institute of Science and Technology (Skoltech) Journal ...

Neural networks are more powerful than these alternatives, in both the mathematical sense and ordinary language sense, but neural networks are more complex than the alternatives. Let me reiterate that ...

When using the scikit library for binary classification, the main alternative to the MLPClassifier neural network module is the scikit DecisionTreeClassifier module. Decision trees are useful for ...

A neural network can learn to organize the world it sees into concepts—just like we do Generative adversarial networks are not just good for causing mischief. They can also show us how AI ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.This ...

Artificial neural networks are viable models for a wide variety of problems, including pattern classification, speech synthesis and recognition, adaptive interfaces between humans and complex ...