Neural Units and Adaptive Evaluation of Time Series
Ivo Bukovsky
Broschiertes Buch

Neural Units and Adaptive Evaluation of Time Series

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First, this research work establishes the theory of novel artificial neural architectures with higher-order nonlinear synaptic neural operation and with adaptable time delays in both the state feedback and neural inputs. The higher-order nonlinear aggregation function, especially together with time-delays as neural parameters of neural units, increases the computational capability of the static and dynamic neural units and thus simplifies the neural architecture and minimizes the number of neural parameters necessary for complex system approximation. The parallel between the novel neural archi...