Mathematical model
A mathematical model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are use...
Newly Built Computer Mimics The Human Brain
Newly Built Computer Mimics The Human Brain.
New 'Artificial Synapses' Could Let Supercomputers Mimic the Human Brain
Brain-like machines with human-like abilities to solve problems could become a reality, researchers say.
Revealing the hidden, beautiful patterns of birds and insects
Dennis Hlynsky transforms ordinary footage into ethereal illustrations by digitally tracing the paths they travel in After Effects. Hlynsky, a film and animation professor at the Rhode Island School o...
Important Step In Artificial Intelligence: Stylized Letters Classified By Their Images
In what marks a significant step forward for artificial intelligence, researchers at UC Santa Barbara have demonstrated the functionality of a simple artificial neural circuit. For the first time, a c...
Complex systems - YouTube - TEDxRotterdam - Igor Nikolic - Complex adaptive systems
Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc ...
Complex systems
Free learning from The Open University http://www.open.ac.uk/openlearn/ --- Open University researcher Professor Jeff Johnson talks of the importance of the ...
Econometric model
Econometric models are statistical models used in econometrics. An econometric model specifies the statistical relationship that is believed to hold between the various economic quantities pertaining ...
Artificial neural network
In machine learning and cognitive science, artificial neural networks (ANNs) are a family of statistical learning algorithms inspired by biological neural networks (the central nervous systems of anim...
Probability distributions
In probability and statistics, a probability distribution assigns a probability to each measurable subset of the possible outcomes of a random experiment, survey, or procedure of statistical inference...
Unified Modeling Language
The Unified Modeling Language (UML) is a general-purpose modeling language in the field of software engineering, which is designed to provide a standard way to visualize the design of a system.It was ...
Unified Modeling Language - Wikipedia
Action semantics
Action semantics is a framework for the formal specification of semantics of programming languages invented by David Watt and Peter D. Mosses in the 1990s. It is a mixture of denotational, operational...
Press-Schechter formalism
The Press–Schechter formalism is a mathematical model for predicting the number of objects (such as galaxies or galaxy clusters) of a certain mass within a given volume of the Universe. It was describ...
Excitable medium
An excitable medium is a nonlinear dynamical system which has the capacity to propagate a wave of some description, and which cannot support the passing of another wave until a certain amount of time ...
Excitable medium - Wikipedia
Abstract machine notation
The abstract machine notation (AMN) is a specification language and (abstract) programming language for specifying abstract machines in the B method, based on the mathematical theory of generalised su...
UXF
In computing, UXF is an initialism for UML eXchange Format, see Unified Modeling Language.UXF is a XML-based model interchange format for UML, which is a standard software modeling language. UXF is a ...
UXF - Wikipedia
Mathematical modeling of electrophysiological activity in epilepsy
Mathematical modeling of electrophysiological activity in epilepsy is a computational method for simulating the key mechanism in the development of epileptic seizures, namely the transition from norma...
Reaction–diffusion system
Reaction–diffusion systems are mathematical models which explain how the concentration of one or more substances distributed in space changes under the influence of two processes: local chemical react...
Reaction–diffusion system - Wikipedia
Hybrid Kohonen self-organizing map
In artificial neural networks, a hybrid Kohonen self-organizing map is a type of self-organizing map (SOM) named for the Finnish professor Teuvo Kohonen, where the network architecture consists of an ...
Non-spiking neuron
Non-spiking neurons are neurons that are located in the central and peripheral nervous systems and function as intermediary relays for sensory-motor neurons. They do not exhibit the characteristic spi...
Non-spiking neuron - Wikipedia
ObjecTime Developer
ObjecTime Developer (or ObjecTime or OTD, for short) is a software automation tool designed to meet the development needs of real-time software development teams. The tool was created by ObjecTime Lim...
Black–Karasinski model
In financial mathematics, the Black–Karasinski model is a mathematical model of the term structure of interest rates; see short rate model. It is a one-factor model as it describes interest rate move...
Meta-IV (specification language)
The Meta-IV (pronounced like "metaphor") was an early version of the specification language of the Vienna Development Method formal method for the development of computer-based systems.
One of the...
Cebeci–Smith model
The Cebeci–Smith model is a 0-equation eddy viscosity model used in computational fluid dynamics analysis of turbulent boundary layer flows. The model gives eddy viscosity, , as a function of the loca...
Use Case Diagram
A use case diagram at its simplest is a representation of a user's interaction with the system that shows the relationship between the user and the different use cases in which the user is involved. A...
Oxford model
The Oxford Model or the Oxford Econometric Model was created by Lawrence Klein and Sir James Ball. It included a Phillips-type relation and led to an "explosion" of macroeconometric forecasting.