Radial basis function network ppt bySheetal,Samreen and Dhanashrisheetal katkar
Radial Basis Functions are nonlinear activation functions used by artificial neural networks.Explained commonly used RBFs ,cover's theorem,interpolation problem and learning strategies.
Radial basis function network ppt bySheetal,Samreen and Dhanashrisheetal katkar
Radial Basis Functions are nonlinear activation functions used by artificial neural networks.Explained commonly used RBFs ,cover's theorem,interpolation problem and learning strategies.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
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# Students can catch up on notes they missed because of an absence.
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Introduction to simulation and modeling will describe what is simulation, what is system and what is model. It will give a brief overview of simulation and modeling in computer science.
The information in this slide is very useful for me to do the assignment regarding the simulation in which we have to report together with the presentation...
This presentation on Pseudo Random Number Generator enlists the different generators, their mechanisms and the various applications of random numbers and pseudo random numbers in different arenas.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
Introduction to simulation and modeling will describe what is simulation, what is system and what is model. It will give a brief overview of simulation and modeling in computer science.
The information in this slide is very useful for me to do the assignment regarding the simulation in which we have to report together with the presentation...
This presentation on Pseudo Random Number Generator enlists the different generators, their mechanisms and the various applications of random numbers and pseudo random numbers in different arenas.
Simulation As a Method To Support Complex Organizational Transformations in H...Jos van Hillegersberg
How to Support Complex Organizational Transformations in Healthcare?
Using Realistic Simulations in Participatory Workshops
Contributions:
Functionalistic Approaches Dominate in design and implementation
-> Integration of Functionalistic and Interpretive approach
Simulation is traditionally used as a method to quantitatively analyse performance issues and improvement opportunities
-> The use of simulation in participative and collaborative workshop settings
Simulation traditionally uses mathematical models of reality with several assumptions and constraints
-> Higly accurate models based on real world data from planning systems and future organization layout
Based on:
Rothengatter, Diederik; Katsma, Christiaan; and Hillegersberg, Jos van, "Simulation As a Method To Support Complex
Organizational Transformations in Healthcare" (2010). AMCIS 2010 Proceedings. Paper 554.
http://aisel.aisnet.org/amcis2010/554
Applying the Scientific Method to Simulation ExperimentsFrank Bergmann
In this talk I would like to explore on how to apply the scientific method to in silico experiments. How can we design these experiments, so that they are independent of the software tool that gave rise to them? Over the past decade we have seen the rise of model exchange formats such as the Systems Biology Markup Language (SBML), that enable us to share the models readily with colleagues and between applications.
Here I present the Simulation Experiment Description Markup Language (SED-ML) that aims to do the same thing for in silico experiments. After detailing its history, and where it currently stands, I will give a short overview of the growing tool support.
Eswaran Subrahmanian - Serious Games in Complex Design of Urban Systems and P...SeriousGamesAssoc
Presenter: Eswaran Subrahmanian, Research Professor, Carnegie Mellon University and Fields of View
The goal of this talk is to illustrate the use of Serious games for inclusive design of systems. The talk will take examples from a developing country context: India. The talk will illustrate how games enhances awareness and participation in the design process. The talk will also use a game on the design of operation of railways in a developed country. The talk will make the case that games are ideal way to deal with participation and design across functional divisions and also linguistic and social boundaries.
A copula-based Simulation Method for Clustered Multi-State Survival Datafedericorotolo
Generating survival data with a clustered and multi-state structure is useful to study Multi-State
Models, Competing Risks Models and Frailty Models. The simulation of such kind of data
is not straightforward as one needs to introduce dependence between times of different transitions
while taking under control the probability of each competing event, the median sojourn time in
each state, the effect of covariates and the type and magnitude of heterogeneity.
Here we propose a simulation procedure based on Clayton copulas for the joint distribution
of times of each competing events block. It allows to specify the marginal distributions of time
variables, while their dependence is induced by the copula. Furthermore, even though a dependence
is obtained between all the time variables, only some joint distributions have to be handled.
The choice of simulation parameters is done by numerical minimization of a criterion function
based on the ratio of target and observed values of median times and of probabilities of competing
events.
The proposed method further allows to simulate discrete and continuous covariates and to
specify their effect on each transition in a proportional hazards way. A frailty term can be added,
too, in order to provide clustering. No particular restriction is needed on covariates distributions,
frailty distribution, number and sizes of clusters.
An example is provided simulating data mimicking those from an Italian multi-center study
on head and neck cancer. The multi-state structure of these data arises from the interest in
studying both time to local relapses and to distant metastases before death.
We show that our proposed method reaches very good convergence to the target values.
Simulation of Urban Mobility (Sumo) For Evaluating Qos Parameters For Vehicul...iosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Keynote address for the Community College of Aurora Faculty in-service on the use of simulation and educational games in immersive environments.
For more information, visit: my research and class blog at http://ctusoftware.blogspot.com
AN ALTERNATIVE APPROACH FOR SELECTION OF PSEUDO RANDOM NUMBERS FOR ONLINE EXA...cscpconf
Fast and accurate selection of random pattern is needed for many scientific and commercial applications. One of the major applications is Online Examination system. In this paper, a sophisticated approach has been developed for the selection of uniform pseudo random pattern for Online Examination System. Three random integer generators have been compared for this
purpose. Most commonly used procedural language based pseudo random number; PHP random generator and atmospheric noise based true random number generator have been considered for easy generation of random patterns. The test result shows a varying degree of improvement in the quality of randomness of the generated patterns. The randomness quality of the generated pseudo random pattern has been assured by diehard test suite. An experimental
outcome for our recommended approach signifies that our approach selects a quality set of random pattern for Online Examination System
Statistical simulation technique that provides approximate solution to problems expressed mathematically.
It utilize the sequence of random number to perform the simulation.
These are my note in the class of probabilistic analysis for the "average case" input. The look at:
1.- The use of the indicator function
2.- Enforcing the "Uniform Assumption"
At the end, we look at the application of the insertion sort average case.
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
2. Topic Name : Mid-Square Random Number Generation
Presented By
Md: Arman Hossain
3. OUTLINE
Introduction
Mid-square Method
Example of Mid-square
Departures of Mid-square Method
Applications of Random Numbers
References
4. INTRODUCTION
Mid-square method was invented by John von Neumann, and was described at a conference in 1949.
In mathematics, the mid-square method is a method of generating pseudorandom numbers. In practice it is
not a good method since its period is usually very short.
5. Mid-square Method
1. Starting with n digit number
2. Squaring it
3. For 8 digit : Remove two lower and higher order digit
4. For 7 digit : Remove one lower and two higher order digit
5. Taking n digits in the middle as the next number
6. Repeat from number no. 2.
6. Example of Mid-square
For an example, we are using 4 digit which is called seed number, we are showing generate 5 random number
here,
5673
1. (5673)2 = 32 1829 29 = 1829
2. (1829)2 = 3 3452 41 = 3452
3. (3452)2 = 11916304 = 9163
4. (9163)2 = 83960569 = 9605
5. (9605)2 = 92256025 = 2560
Remove two
higher order digit
Remove two
lower order digit
Next seed
number
Square seed
number
Remove one
higher order digit
Remove two
lower order digit
7. Departures of Mid-square Method
Converge on a constant :
2500
(2500)2 = 6 2500 00 = 2500 This will repeated.
2504
(2504)2 = 6 2700 16 = 2700
(2700)2 = 7 2900 00 = 2900
(2900)2 = 8 4100 00 = 4100
.
.
(2100)2 = 4 4100 00 = 4100 This will repeated also.
There more constant number like this.
seed
seed
8. Applications of Random Numbers
Simulation : when a computer is being used to simulate natural phenomena, random numbers are
required to make things realistic. Simulation covers many fields, from the study of nuclear physics to
operations research.
Sampling : It is often impractical to examine all possible cases, but a random sample will provide
insight into what constitutes “typical behavior”.
Numerical analysis : Ingenious techniques for solving complicated numerical problems have been
devised using random numbers.
Computer programming: Random values make a good source of data for testing the effectiveness of
computer algorithm.
Decision making : There are reports that many executives make their decisions by flipping a coin or
by throwing darts, etc. It is also rumored that some college professors prepare their grades on such a
basis. Sometimes it is important to make a completely "unbiased decision; this ability is occasionally
useful in computer algorithms, for example in situations where a fixed decision made each time would
cause the algorithm to run more slowly. Randomness is also an essential part of optimal strategies in
the theory of games.
Recreation : Rolling dice, shuffling decks of cards, spinning roulette wheels, etc., are fascinating
pastimes for just about everybody. These traditional uses of random numbers have suggested the name
"Monte Carlo method," a general term used to describe any algorithm that employs random numbers.