Übersetzung für "Künstliche neuronale netze" in Englisch

In the early 1930s, Rashevsky developed the first model of neural networks.

Compared to the brain, artificial neural networks use vastly simplified "nerve cells".

These findings will then make it possible to model artificial neural networks more precisely.

Artificial neuronal networks imitate the learning process of the brain in a simplified way.

Neural networks, or better artificial neural networks are software products or programs.

Artificial neural networks are used in exemplary embodiments, for the prognosis of the blood pressure.

Artificial neural networks are networks of artificial neurons.

What is behind this to an increasing extent are artificial neural networks.

Artificial neural networks are motivated by the natural brains.

The researchers are relying on self-learning artificial neural networks to control solar thermal heating systems.

What are Artificial Neural Networks?

Artificial neural networks offer possibilities to interpret the dynamic progress of the system and to predict its future behavior.

Artificial neural networks have been a focus of attention in science and industry for some considerable time already.

Typically, artificial neural networks deliver better results in challenging applications than competing machine learning methods.

Artificial Neural Networks: The great hope is that computer programs learn by themselves.

Methods such as artificial neuronal networks, support vector machines, and the like have proved themselves in this regard.

On the other hand there are artificial neural networks, which are currently the object of intensive research.

The analysis of the vast amounts of data is made possible by image analysis, artificial neural networks and supercomputing.

Artificial neural networks consist of adaptive mathematical units that can process and execute complex functions.

In the context of the decision-making for financial transactions, there is a wide- spread use of artificial neural networks (NN).

In principle, artificial neural networks are trained using a reward system, just like their natural models.

Artificial neural networks reproduce the behaviour of the brain which is able to organise itself through learning processes.

Raúl Rojas González (born 1955, in Mexico City) is a professor of Computer Science and Mathematics at the Free University of Berlin and a renowned specialist in artificial neural networks.

Artificial neural networks can be used to understand biological neural networks, or to solve problems of artificial intelligence, without necessarily creating models of real biological systems.

Raúl Rojas González (born 1955, in Mexico City) is a professor of Computer Science and Mathematics at the Free University of Berlin and a renowned specialist in artificial neural networks.

Artificial neural networks (referred to below as ANN) are proposed for the parallel processing of extremely large data sets with the goal of pattern recognition and processing (for example, of speech or images).

In 1974, Werbos mentioned the possibility of applying this principle to Artificial neural networks, and in 1982, he applied Linnainmaa's AD method to neural networks in the way that is widely used today.