Slajd 1
... microcircuits model behaviour of mammalian visual system in some detail. All neural cells are simulated according to Hodgkin-Huxley theory. In that model each neuron is treated as a set of several non-linear differential equations. Good simulation of large groups of Hodgkin-Huxley neurons usually re ...
... microcircuits model behaviour of mammalian visual system in some detail. All neural cells are simulated according to Hodgkin-Huxley theory. In that model each neuron is treated as a set of several non-linear differential equations. Good simulation of large groups of Hodgkin-Huxley neurons usually re ...
Week 8
... Experiment with different alternatives The model reflects manager’s perspective Can handle wide variety of problem types Can include the real complexities of problems Produces important performance measures Often it is the only DSS modeling tool for non-structured problems ...
... Experiment with different alternatives The model reflects manager’s perspective Can handle wide variety of problem types Can include the real complexities of problems Produces important performance measures Often it is the only DSS modeling tool for non-structured problems ...
Chapter 2 Study Guide Answers (1)
... 1. What is a control group? The group that does not receive treatment 2. What are correlations? Associations between two or more events ...
... 1. What is a control group? The group that does not receive treatment 2. What are correlations? Associations between two or more events ...
CARDIOVASCULAR SIMULATOR
... The other controlled parameters are set similarly, but with different values for τ, γ, the weighting function h[k], and the nominal parameter value setpoint. The gain values for heart rate and peripheral resistance were obtained from DeBoer [2], whereas contractility and venous tone gains were calcu ...
... The other controlled parameters are set similarly, but with different values for τ, γ, the weighting function h[k], and the nominal parameter value setpoint. The gain values for heart rate and peripheral resistance were obtained from DeBoer [2], whereas contractility and venous tone gains were calcu ...
2005-04-19-selection..
... 1. The standard linear statistical model (lm in R) (a) yi = β0 + β1 x1i + · · · + βk xki + ei (b) The errors, ei have mean 0, variance σ 2 , and are independent. (c) The random variables ei have normal distributions. 2. Problem: How many variables (of the k) should we keep? There is a tradeoff - mor ...
... 1. The standard linear statistical model (lm in R) (a) yi = β0 + β1 x1i + · · · + βk xki + ei (b) The errors, ei have mean 0, variance σ 2 , and are independent. (c) The random variables ei have normal distributions. 2. Problem: How many variables (of the k) should we keep? There is a tradeoff - mor ...
ICDM04Stream
... Idea 1: using observable statistical traits from the model itself to guess the error on unlabeled streaming data. Idea 2: using very small number of specifically acquired examples to statistically estimate the error – similar to estimate poll to estimate Bush or Kerry will win the presidency. ...
... Idea 1: using observable statistical traits from the model itself to guess the error on unlabeled streaming data. Idea 2: using very small number of specifically acquired examples to statistically estimate the error – similar to estimate poll to estimate Bush or Kerry will win the presidency. ...
Math 221: Simulations/Law of Large Numbers
... Math 221: Simulations/Law of Large Numbers The Birthday Problem Let A be the event that at least two people from a class of 50 share the same birthday. We can use simulations to find the probability of A. The exact probability is: P (A) = 1 − P (Ā) = 1 − ...
... Math 221: Simulations/Law of Large Numbers The Birthday Problem Let A be the event that at least two people from a class of 50 share the same birthday. We can use simulations to find the probability of A. The exact probability is: P (A) = 1 − P (Ā) = 1 − ...
Computer simulation
A computer simulation is a simulation, run on a single computer, or a network of computers, to reproduce behavior of a system. The simulation uses an abstract model (a computer model, or a computational model) to simulate the system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.Computer simulations vary from computer programs that run a few minutes to network-based groups of computers running for hours to ongoing simulations that run for days. The scale of events being simulated by computer simulations has far exceeded anything possible (or perhaps even imaginable) using traditional paper-and-pencil mathematical modeling. Over 10 years ago, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around Kuwait, using multiple supercomputers in the DoD High Performance Computer Modernization ProgramOther examples include a 1-billion-atom model of material deformation; a 2.64-million-atom model of the complex maker of protein in all organisms, a ribosome, in 2005;a complete simulation of the life cycle of Mycoplasma genitalium in 2012; and the Blue Brain project at EPFL (Switzerland), begun in May 2005 to create the first computer simulation of the entire human brain, right down to the molecular level.Because of the computational cost of simulation, computer experiments are used to perform inference such as uncertainty quantification.