• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
An Artificial Intelligence Neural Network based Crop Simulation
An Artificial Intelligence Neural Network based Crop Simulation

Artificial Intelligence for Artificial Artificial Intelligence
Artificial Intelligence for Artificial Artificial Intelligence

The Relative Expressiveness of Abstract Argumentation and Logic
The Relative Expressiveness of Abstract Argumentation and Logic

... We assume given a finite set A of atoms (statements, arguments), the vocabulary. A knowledge representation language interpreted over A is then some set L; a (two-valued) A semantics for L is a mapping σ : L → 22 that assigns sets of two-valued models to the language elements. (So A is implicit in L ...
Assumptions of Decision-Making Models in AGI
Assumptions of Decision-Making Models in AGI

3.1 Solving One-Step Equations
3.1 Solving One-Step Equations

... Rounding rule – If not otherwise stated, round to the hundredths place (2 numbers after the decimal). Round off error – When you round an answer, the check will not come out exactly. 2.76x + 4.84 = -131.55 2.76x = -136.39 x = -49.41666… x = -49.42 check: ...
The Effect of Centering on the Condition Number of Polynomial Regression Models
The Effect of Centering on the Condition Number of Polynomial Regression Models

Artificial Intelligence for Artificial Artificial Intelligence
Artificial Intelligence for Artificial Artificial Intelligence

8th Math Ind Test Specs
8th Math Ind Test Specs

Closed-Form Learning of Markov Networks from Dependency
Closed-Form Learning of Markov Networks from Dependency

PDF (free)
PDF (free)

... intelligence and enhanced capacity to predict criminal behavior, location and time, all of which are essential for crime prevention. The ability to predict criminal incidents is vital for all types of law enforcement agencies (Brown & Gunderson, 2001). In the past, crime prediction was regarded as u ...
(2009). Cognitive computational intelligence
(2009). Cognitive computational intelligence

Lesson 20
Lesson 20

Alternative Carries for Base-b Addition
Alternative Carries for Base-b Addition

... when we change the number base? More importantly, what happens when we change the carry for various length strings of numbers? As it turns out, there are isomorphisms that can send an n-digit number with a basic carry to the same digit number with any other carry. We can use these general rules to p ...
Standards from the NF Domain Calling for Word
Standards from the NF Domain Calling for Word

492-166 - wseas.us
492-166 - wseas.us

Worksheet (p.7 of notes)
Worksheet (p.7 of notes)

A simple example of Dirichlet process mixture
A simple example of Dirichlet process mixture

IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)

... training the model with pre-defined data. SVM tool is used for both classification and regression problems and it is based on statistical learning theory .In SVM some sample data as an input is given and its output function is used to predict some feature of the future data. In many conventional and ...
Šiuolaikinių kompiuterių architektūra
Šiuolaikinių kompiuterių architektūra

1.0 0.0 1.0 2.0 3.0 0.0 0.4 0.8 Time (sec)
1.0 0.0 1.0 2.0 3.0 0.0 0.4 0.8 Time (sec)

Mathematics
Mathematics

Integers - For the Love of Teaching Math
Integers - For the Love of Teaching Math

... numbers apart and give each student one card. There are a lot of things you can do with these cards. One thing I do with them is to have the students line themselves up from least to greatest. This sometimes takes them a little while. I don't help them, but make them do it themselves. My students al ...
BLOG: Probabilistic Models with Unknown Objects
BLOG: Probabilistic Models with Unknown Objects

A Point Process Model for Auditory Neurons Considering
A Point Process Model for Auditory Neurons Considering

... evaluate the relative importance of the factors. Two key factors or covariates to consider in standard neurophysiology experiments are the intrinsic dynamics of the neuron such as the absolute and relative refractory periods, bursting and network dynamics whereas the primary extrinsic factor is the ...
1 - Philsci
1 - Philsci

< 1 ... 32 33 34 35 36 37 38 39 40 ... 68 >

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 used in the natural sciences (such as physics, biology, earth science, meteorology) and engineering disciplines (such as computer science, artificial intelligence), as well as in the social sciences (such as economics, psychology, sociology, political science). Physicists, engineers, statisticians, operations research analysts, and economists use mathematical models most extensively. A model may help to explain a system and to study the effects of different components, and to make predictions about behaviour.Mathematical models can take many forms, including but not limited to dynamical systems, statistical models, differential equations, or game theoretic models. These and other types of models can overlap, with a given model involving a variety of abstract structures. In general, mathematical models may include logical models. In many cases, the quality of a scientific field depends on how well the mathematical models developed on the theoretical side agree with results of repeatable experiments. Lack of agreement between theoretical mathematical models and experimental measurements often leads to important advances as better theories are developed.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report