Titlebook: Artificial Neural Networks for Intelligent Manufacturing; Cihan H. Dagli (Associate Professor) Book 1994 Springer Science+Business Media D

GNAW

Process monitoring and controlble operations. Process monitoring generally accounts for the . of events like process malfunctions, that require a specific and often discrete action. As opposed to monitoring, a controller . in order to regulate or control certain process outputs, or to optimize a given performance index. Thus pro

Hirsutism

Adaptive control in manufacturingequirements imposed on products, various forms of controllers have been used to regulate manufacturing processes and systems. Due to the extensive research on control theories, a wide variety of control schemes are now available. The controllers being used in practice, however, are mostly the types

小木槌

Fuzzy neural control rapidly increasing number of fuzzy logic applications in process control and consumer electronics, as well as theoretical and hardware advances in neuro-control, provide significant incentives for studying fuzzy neural control. Of particular interest to control designers may prove the maturity of n

起皺紋

Neural networks in continuous process diagnosticscurrence of failures with accuracy and speed, particularly when failures can be catastrophic. Previous approaches to diagnostics problems have been rule-based. They suffered from slow response time and failure under missing information. Neural networks are fast because they use parallel processing c

一再遛

庇護(hù)

Semblance

時(shí)代

Curmudgeon

Basic artificial neural network architecturesy are used in specific manufacturing application, so this chapter aims to fill this gap. After an introduction of basic artificial neural networks, three classical artificial neural network architectures — perceptron, backpropagation and adaptive resonance theory (ART1) — are examined.

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