Journal ArticleDOI
A logical calculus of the ideas immanent in nervous activity
Warren S. McCulloch,Walter Pitts +1 more
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In this article, it is shown that many particular choices among possible neurophysiological assumptions are equivalent, in the sense that for every net behaving under one assumption, there exists another net which behaves under another and gives the same results, although perhaps not in the same time.About:
This article is published in Bulletin of Mathematical Biology.The article was published on 1990-01-01. It has received 14937 citations till now. The article focuses on the topics: Propositional calculus & Existential quantification.read more
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Prediction of pores formation (porosity) in foods during drying: generic models by the use of hybrid neural network
TL;DR: In this paper, a general porosity prediction model using regression analysis and hybrid neural network techniques was developed using 286 data points obtained from the literature and the best generic model was developed based on four inputs such as temperature of drying, moisture content, initial porosity, and product type.
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A neural network model based on the analogy with the immune system.
TL;DR: The similarities between the immune system and the central nervous system lead to the formulation of an unorthodox neural network model that leads to prediction that the variance in the rates of firing of the neurons associated with memory should increase during waking hours, and decrease during sleep.
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Sentiment Analysis of Big Data: Methods, Applications, and Open Challenges
Shahid Shayaa,Noor Ismawati Jaafar,Shamshul Bahri,Ainin Sulaiman,Phoong Seuk Wai,Yeong Wai Chung,Arsalan Zahid Piprani,Mohammed Ali Al-Garadi +7 more
TL;DR: Both technical aspect of OMSA (techniques and types) and non-technical aspect in the form of application areas are discussed and these challenges are presented as a future direction for research.
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Hebbian learning reconsidered: Representation of static and dynamic objects in associative neural nets
TL;DR: It turns out that pure Hebbian learning is by selection: the network produces synaptic representations that are selected according to their resonance with the input percepts.
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An ensemble neural network model for real-time prediction of urban floods
TL;DR: An artificial neural network based model is presented for the prediction of maximum water levels during a flash flood event and the accuracy and computation time are convincing, which suggest that the method may be useful for real-time forecasts.
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The Logical Syntax of Language
TL;DR: Carnap's entire theory of language structure appeared in The Logical Syntax of Language (1934) as mentioned in this paper, which led to his famous "Principle of tolerance" by which everyone is free to mix and match the rules of his logic in any way he wishes.