Industrial applications of fuzzy logic at General Electric

Bonissone, Piero P.; Badami, V.V.; Chiang, K.H.; Khedkar, P.S.; Marcelle, K.W.; Schutten, Michael

doi:10.1109/5.364490

Cited by 109 publications

(47 citation statements)

References 18 publications

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“…The most striking feature of ANFIS is that it provides more choices over membership functions. ANFIS is one of the best tradeoffs between neural and fuzzy systems, providing smoothness, due to the FC interpolation and adaptability, due to the neural network backpropagation (Bonissone et al 1997).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of total charge and maximum charge per delay on ground vibration

Singh¹,

Verma

2010

Geomatics, Natural Hazards and Risk

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Frequency is among the most used properties for determining the detrimental effect of ground blasting on the surrounding areas. In this paper, an attempt has been made to calculate the frequency of the blast by developing an adaptive neuro-fuzzy inference system (ANFIS) model. Blast design and explosive parameters are incorporated in the intelligent model. The sugeno type fuzzy inference system was generated using the subtractive clustering partition method. Two separate ANFIS networks have been generated, each with five inputs (maximum charge per delay and total charge, respectively in two different cases) and one output parameter (frequency) was trained using a hybrid parameter optimization method. A set of 160 data obtained from blast monitoring at a major surface coal mine in India was used for training the network. A different set of 27 data was used for validating and testing the designed network. It has been observed that for a given distance the frequency of the vibration is affected not only by the maximum charge per delay but by total charge also. The results obtained from ANFIS were able to predict that the frequency of ground blast operation is obtained with higher precision when the maximum charge per delay is used as an input parameter instead of total charge.

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Section: Introductionmentioning

confidence: 99%

Sensitivity of total charge and maximum charge per delay on ground vibration

Singh¹,

Verma

2010

Geomatics, Natural Hazards and Risk

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“…Several Romanian scientists started to study fuzzy theory and their applications, obtaining valuable results, the best performers in the field were Constantin Virgil Negoita 16 and Dan Ralescu 17 , who published in collaboration two books, in 1974 [76] (in Romanian), and in 1975 [77](in English). "The first published book ever, specifically devoted to fuzzy sets is the one (in French) by Kaufmann (1973), translated into English in 1975 ( [55]), closely followed by a mathematical treatise by Negoita and Ralescu (1975, [77]), based on a 1974 monograph in Romanian ( [76]).…”

Section: Lotfi a Zadehmentioning

confidence: 99%

Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh

Dzițac¹,

Filip²,

Manolescu³

2017

INT J COMPUT COMMUN

116

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“…[14] and [15] describe with more detail the basic concepts of NFS. One of the most important NFS is ANFIS [13], which has been used in a wide range of applications [6]. NFS are especially suited for applications where user interaction in model design or interpretation is desired.…”

Section: Neuro-fuzzy Systemsmentioning

confidence: 99%

Recent Soft Computing Approaches to User Modeling in Adaptive Hypermedia

Frı́as-Martı́nez

Magoulas

Chen

et al. 2004

Lecture Notes in Computer Science

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Abstract. The ability of an adaptive hypermedia system to create tailored environments depends mainly on the amount and accuracy of information stored in each user model. One of the difficulties that user modeling faces is the necessity of capturing the imprecise nature of human behavior. Soft Computing has the ability to handle and process uncertainty which makes it possible to model and simulate human decision-making. This paper surveys different soft computing techniques that can be used to efficiently and accurately capture user behavior. The paper also presents guidelines that show which techniques should be used according to the task implemented by the application.

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Industrial applications of fuzzy logic at General Electric

Cited by 109 publications

References 18 publications

Sensitivity of total charge and maximum charge per delay on ground vibration

Sensitivity of total charge and maximum charge per delay on ground vibration

Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh

Recent Soft Computing Approaches to User Modeling in Adaptive Hypermedia

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