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Full-Text Articles in Engineering
Adaptive Critic Designs, Danil V. Prokhorov, Donald C. Wunsch
Adaptive Critic Designs, Danil V. Prokhorov, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
We discuss a variety of adaptive critic designs (ACDs) for neurocontrol. These are suitable for learning in noisy, nonlinear, and nonstationary environments. They have common roots as generalizations of dynamic programming for neural reinforcement learning approaches. Our discussion of these origins leads to an explanation of three design families: heuristic dynamic programming, dual heuristic programming, and globalized dual heuristic programming (GDHP). The main emphasis is on DHP and GDHP as advanced ACDs. We suggest two new modifications of the original GDHP design that are currently the only working implementations of GDHP. They promise to be useful for many engineering applications …
Backpropagation Of Accuracy, Donald C. Wunsch, M. Yu Senashova, Alexander N. Gorban
Backpropagation Of Accuracy, Donald C. Wunsch, M. Yu Senashova, Alexander N. Gorban
Electrical and Computer Engineering Faculty Research & Creative Works
We solve the problem: how to determine maximal allowable errors, possible for signals and parameters of each element of a network, proceeding from the condition that the vector of output signals of the network should be calculated with given accuracy? "Backpropagation of accuracy" is developed to solve this problem
High Order Orthogonal Tensor Networks: Information Capacity And Reliability, Donald C. Wunsch, Y. M. Mirkes, Alexander N. Gorban
High Order Orthogonal Tensor Networks: Information Capacity And Reliability, Donald C. Wunsch, Y. M. Mirkes, Alexander N. Gorban
Electrical and Computer Engineering Faculty Research & Creative Works
Neural networks based on construction of orthogonal projectors in the tensor power of space of signals are described. A sharp estimate of their ultimate information capacity is obtained. The number of stored prototype patterns (prototypes) can many times exceed the number of neurons. A comparison with the error control codes is made