Associative memory neural networks: Adaptive modelling theory, software implementations and graphical user interface

An, P.E.; Brown, M.; Harris, C.J.; Lawrence, A.J.; Moore, Christopher

doi:10.1016/0952-1976(94)90038-8

Cited by 11 publications

(3 citation statements)

References 8 publications

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“…These are specially suited for the control of complex, large-scale and multivariable systems. (5) Hardware implementation. NN's can be implemented in parallel not only by software but also by hardware.…”

Section: Ann For Controlmentioning

confidence: 99%

“…Cerebellar Model Articulation Control (CMAC) [1][2][3][4][5] can be considered a supervised feedforward neural network with the characteristics of a fuzzy associative memory. A basic CMAC module is shown in Figure 7.14.…”

Section: Cerebellar Model Articulation Control Networkmentioning

confidence: 99%

“…It is one of the main NN controllers found applications in recent years [5,55,65,66,84,86], There are two schemes to use CMAC for control. The first scheme has the structure as depicted in Figure 7.24 [1,2].…”

Section: Cmac Based Controlmentioning

confidence: 99%

See 2 more Smart Citations

Neurocontrol Systems

1997

Intelligent Control: Principles, Techniques and Applications

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Over the past ten years, there have been many attempts and considerable progress in Artificial Neural Networks (ANN, or NN) as a new and interested tool for identification, modeling and control of the dynamic systems [19,53,59,69,70,75,76,78]. The number of papers in journals and conferences with regard to ANN has increased sharply; monographs, textbooks, proceedings and special issues on the Artificial Neural Networks and ANN-based control have been published one after another. The special issues on the subject are regarded to play an important role in promoting this intellectual trend of thought [33,[35][36][37][38]40].In this chapter, firstly, the origins, characteristics, properties, structures, models and algorithms of ANN will be introduced; then various structures of neurocontrol will be analyzed; finally, a paradigm of NN-based control system will be presented, and some open research and application topics will be discussed.

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Section: Ann For Controlmentioning

confidence: 99%