Examples of using Artificial neural network in English and their translations into Indonesian
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An Artificial Neural Network.
The story is about an ANN, or artificial neural network.
Why artificial neural network?
Developed diagnoses applications based on microarray data, using artificial neural network and Matlab.
Why use an Artificial Neural Network?
Artificial neural network, like people, learn by examples.
As its biological predecessor, an artificial neural network is an adaptive system.
An artificial neural network model for rainfall forecasting in Bangkok, Thailand.
The prediction models weredeveloped by partial least square regression(PLSR) and artificial neural network(ANN).
How does artificial neural network…?
The text from the ASR and the Context is then sent to the heart of Duplex,which is called an Artificial Neural Network(ANN).
How does Artificial Neural Network work?
To achieve this,Deep Learning uses a layered structure of algorithms called an Artificial Neural Network.
However, running an artificial neural network consumes a lot of time and energy.
To achieve this,deep learning uses a layered structure of algorithms called an artificial neural network(ANN).
An artificial neural network is(supposed to be) the exact same thing, but simulated with software.
Speech recognition using linear predictive coding and artificial neural network for controlling movement of mobile robot.
This creates an artificial neural network that through algorithm allows the computer to learn by integrating new data.
To achieve this,deep learning uses a layered structure of algorithms called an artificial neural network(ANN).
A deep neural network(DNN) is an artificial neural network(ANN) with multiple layers between the input and output layers.
Samsung's researcher Sebastian Seung will describe the results of a study that aimed tobetter understand the human brain using the artificial neural network.
The recipe below was generated by an artificial neural network, a type of artificial intelligence(AI) that learns by example.
The main research field of the discipline Control Theory& Control Engineering includes robust control,intelligent system, artificial neural network, genetic algorit…[+].
Organization: An artificial neural network can create its own organization or representation of the information received during learning.
This new functional flexibilityis important for enabling more complex artificial neural network that can also dynamically reconfigure just like our brain does.".
An artificial neural network involves a network of simple processing elements that can exhibit complex behavior, determined by the connections between the processing elements and element parameters.
Robat delineates the borders of objects it encounters and classifies them using an artificial neural network, thus creating a rich, accurate map of its environment while avoiding obstacles.
Self-Organization: An artificial neural network can create its own organization or representation of the information it receives during learning.