Performance-guided neural network for rapidly self-organising active network management

Lee, Sin Wee; Palmer-Brown, Dominic; Roadknight, Chris

doi:10.1016/j.neucom.2004.03.001

Cited by 25 publications

(7 citation statements)

References 25 publications

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“…It should be noted here, that speeding up responses of the regulatory and feedback systems based on generating certain "inner templates" are well known in the neural networkbased systems (Csermely, 2016;Lee et al, 2004). It is more than a coincidence, as neural networks are supposed to be modeling the processes happening in the brain (Galantyuk, Petrov, Procopenko, & Shanina, 2013).…”

Section: State Of the Problemmentioning

confidence: 97%

A Way to Health Through Psycho-Immunological Well-Being: Example of Indigenous People of Russian North

Fisher¹,

Петров²,

Koptyug³

et al. 2017

Proceedings of the Iii International Scientific and Practical Conference

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The research was carried out into the changes within psychic and immune domains of the Russian Nenets people migrating from the traditional northern habitat (tundra) to urban environment. It is noted that in the process of significantly changing lifestyle supposedly single ethnic group can be clearly sub-divided according to the differences in adaptation dynamics. This division reflects sociological differences and is connected to the psychoimmunological aspects. Thus, with the adaptation of forest Nenets to the new conditions of existence (from the tundra to the urban centers), we found a division of a whole ethnic group into two groups according to a social attribute, which is fixed at the psychophysiological level. First, psychic and immune domains are not only sharing a number of common features but also can have deep evolutionary connections and can be governed by similar laws. Second, the psyche and the immune system show the most important functions and properties that ensure an effective existence, generalizing the values of adaptation, protection and vitality into a single structure. Such a concept is closed to "wholeness" and "integrity"

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Section: State Of the Problemmentioning

confidence: 97%

A Way to Health Through Psycho-Immunological Well-Being: Example of Indigenous People of Russian North

Fisher¹,

Петров²,

Koptyug³

et al. 2017

Proceedings of the Iii International Scientific and Practical Conference

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“…The modular neural network modified from the Performanceguided Adaptive Resonance Theory (PART) network, first introduced by Lee & PalmerBrown [1] is shown in Fig. 1.…”

Section: The Snapdrift Neural Network (Sdnn) Architecturementioning

confidence: 99%

Phonetic Feature Discovery in Speech Using Snap-Drift Learning

Lee

Palmer-Brown

2006

Artificial Neural Networks – ICANN 2006

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Abstract. This paper presents a new application of the snapdrift algorithm [1]: feature discovery and clustering of speech waveforms from nonstammering and stammering speakers. The learning algorithm is an unsupervised version of snapdrift which employs the complementary concepts of fast, minimalist learning (snap) & slow drift (towards the input pattern) learning. The Snap Drift Neural Network (SDNN) is toggled between snap and drift modes on successive epochs. The speech waveforms are drawn from a phonetically annotated corpus, which facilitates phonetic interpretation of the classes of patterns discovered by the SDNN.

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“…on a simple modal learning method. This means that the learning method changes periodically from one learning mode to another (snap and drift) [27,25,28,29]. A complete description of the algorithm can be found in [25,30].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students

et al. 2016

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Objective: This paper presents an empirical study of a formative neural network-based assessment approach by using mobile technology to provide pharmacy students with intelligent diagnostic feedback.Method: An unsupervised learning algorithm was integrated with an audience response system called SIDRA in order to generate states that collect some commonality in responses to questions and add diagnostic feedback for guided learning. A total of 89 pharmacy students enrolled on a Human Anatomy course were taught using two different teaching methods. Forty-four students employed intelligent SIDRA (i-SIDRA), whereas 45 students received the same training but without using i-SIDRA.Results: A statistically significant difference was found between the experimental group (i-SIDRA) and the control group (traditional learning methodology), with T (87) = 6.598, p < 0.001. In four MCQs tests, the difference between the number of correct answers in the first attempt and in the last attempt was also studied. A global effect size of 0.644 was achieved in the meta-analysis carried out. The students expressed satisfaction with the content provided by i-SIDRA and the methodology used during the process of learning anatomy (M=4.59).

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Performance-guided neural network for rapidly self-organising active network management

Cited by 25 publications

References 25 publications

A Way to Health Through Psycho-Immunological Well-Being: Example of Indigenous People of Russian North

A Way to Health Through Psycho-Immunological Well-Being: Example of Indigenous People of Russian North

Phonetic Feature Discovery in Speech Using Snap-Drift Learning

An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students

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