NEURAL NETWORKS SERVICES
Neural networks are automated structures, which are caused by the example of natural sensory chains that form (set up) the animal head. That sort of the structures study to complete the assignments, by looking through the samples, without being planned out.
Neural Networks comprise the series of the united elements or nodes named artificial neurons that easily imitate themselves in the organic substance. Each contact can transfer one signal from one AN to different ones. The imitation neuron that gets the indicators may convert it and gives signs to neurons united with it.
The signal in the contact among neurons may be a real sum. The finished product is generated by the set of the non-continuous functions of some original material. The layers are the basement of the artificial neurons.
Goal of Neural Networks
The primary aim of the NN is to settle the problems in the same approaches the personal brain does.
Sensory systems can be applied for:
Allocation of the NN
There are many samples of the NNs, every of that requires the functional utilization and the levels of complications.
The most used kind of the NN is a feedforward NN (one way from the beginning till the end).
The second kind is a recurrent NN (many ways of transitions).
The third NN is convolutional.
Neural networks development tools
The frameworks of the Neural Network are provided below:
The set of the libraries for the neural networks advancement is the following:
The languages that are accepted for the Neural Network creation are listed:
The Neural Network development tools are suggested in the table:
Development of neural networks for system identification
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