Adjectives For Modeling
Discover the most popular adjectives for describing modeling, complete with example sentences to guide your usage.
Updated on March 16, 2024
Exploring the realm of modeling through descriptive adjectives unveils a canvas richer and more varied than one might initially imagine. When we speak of mathematical modeling, we dive into the realm of precise calculation and predictions. Structural modeling, on the other hand, invites us into the architectural beauty of design and construction. The term numerical modeling takes us on a journey through data-driven landscapes, while molecular modeling opens a microscopic world of atomic interactions. Each adjective, be it based or statistical, accentuates a unique facet of modeling, enriching our understanding beyond the simple noun. The nuances these adjectives bring to 'modeling' are vast and fascinating. Explore the full spectrum of possibilities and discover the diverse world of modeling adjectives below.
| mathematical | |
| structural | Structural modeling provided a better understanding of the complex system. |
| numerical | Numerical modeling provides detailed insights into complex physical phenomena. |
| molecular | Molecular modeling is an essential tool for understanding the behavior of molecules in various systems. |
| based | The development process is based modeling which in turn depends heavily on various techniques of investigation and abstraction. |
| statistical | Statistical modeling is a powerful tool for analyzing data and making predictions. |
| dynamic | Researchers employed dynamic modeling techniques to simulate the intricate interactions within a complex biological system. |
| computational | Computational modeling has become an essential tool for scientists and engineers to simulate complex systems and predict their behavior. |
| dimensional | Dimensional modeling is a data modeling technique that represents data in a way that reflects how the business operates. |
| conceptual | Conceptual modeling is a technique for representing and understanding the fundamental concepts, relationships, and constraints of a system or process. |
| solid | Computer-aided engineers use solid modeling to create 3D representations of physical objects. |
| theoretical | Theoretical modeling provides a valuable framework to explore complex systems. |
| causal | Causal modeling is a statistical technique that allows researchers to assess the causal relationships between variables. |
| geometric | Geometric modeling is the process of creating a mathematical representation of a three-dimensional object. |
| physical | Physical modeling is the process of creating a mathematical or computer-based representation of a physical system. |
| cognitive | The cognitive modeling engine is able to learn from data and make predictions. |
| predictive | The data scientists used predictive modeling to forecast future sales. |
| accurate | The accurate modeling of complex systems is crucial for effective decision making. |
| formal | We employ a formal modeling framework to analyze the impact of different design choices. |
| economic | The economic modeling produced was used to predict future economic trends. |
| finite | The group's finite modeling has been ineffective |
| detailed | The detailed modeling of the system helped us to identify potential problems early on. |
| stochastic | Stochastic modeling incorporates random variables to account for uncertainty in system behavior analysis. |
| linear | Linear modeling is a statistical technique used to describe the relationship between one or more independent variables and a dependent variable. |
| hierarchical | Hierarchical modeling is a statistical technique that allows for the analysis of nested data structures. |
| quantitative | Quantitative modeling plays a crucial role in assessing financial risks and making informed investment decisions. |
| kinetic | Computational fluid dynamics (CFD) software packages commonly include a kinetic modeling approach for simulating complex chemical reactions. |
| oriented | The system is characterized by an object-oriented modeling approach. |
| symbolic | Symbolic modeling is a powerful tool for understanding and designing software systems. |
| econometric | Econometric modeling is a technique used to analyze economic data and make predictions or forecasts. |
| fuzzy | Fuzzy modeling is a powerful technique for representing and processing imprecise or uncertain data. |
| ecological | Ecological modeling can help us understand how ecosystems respond to changes in the environment. |
| financial | Financial modeling is a crucial skill for business analysts and financial professionals. |
| neural | Recent neural modeling advances in machine translation have shown promising results. |
| spatial | Spatial modeling enables the prediction of a parameter in space. |
| analytical | The analytical modeling provided valuable insights into the performance of the system. |
| behavioral | The new employees were trained using behavioral modeling |
| multilevel | Multilevel modeling is a statistical technique used to analyze data that has a hierarchical structure. |
| environmental | The environmental modeling data was useful for predicting the effects of climate change. |
| nonlinear | Nonlinear modeling is a powerful technique used to capture complex relationships between variables. |
| covert | The covert modeling industry relies heavily on anonymity and discretion. |
| explicit | The explicit modeling approach involves observing and demonstrating the target behavior to the student. |
| level | The researchers used hierarchical level modeling to assess the longitudinal association between sleep duration and school attendance among Korean adolescents. |
| realistic | The realistic modeling of the environment allows for accurate simulations of physical interactions. |
| parental | The child's behavior is a result of parental modeling |
| pharmacokinetic | Pharmacokinetic modeling is a valuable tool for optimizing drug dosing and improving patient outcomes. |
| empirical | Empirical modeling involves the use of data to develop mathematical models that represent real-world systems. |
| hydrologic | Researchers understand best management practices to reduce or mitigate non-point source pollution with the help of hydrologic modeling |
| global | Global modeling is an ongoing project that aims to create a comprehensive understanding of Earth's systems. |
| scale | |
| complex | The research team analyzed the data using complex modeling techniques. |
| sophisticated | Sophisticated modeling enabled the researchers to develop a new AI system that outperforms existing solutions. |
| parametric | Parametric modeling allows designers to create complex 3D models by defining a set of parameters and relationships between them. |
| probabilistic | Probabilistic modeling enables us to represent uncertain knowledge and reason with it. |
| thermal | Thermal modeling is used to predict the temperature distribution and heat flow in a system. |
| constitutive | The constitutive modeling of materials is essential for understanding their behavior under various loading conditions. |
| latent | "Latent modeling" is a statistical technique used to discover the underlying structure of data. |
| comparative | The protein structure was predicted by comparative modeling based on its sequence similarity to the known structure of a homologous protein. |
| geochemical | Geochemical modeling quantifies the chemical reactions and transport processes that occur in natural systems. |
| semantic | Semantic modeling enables computers to understand the meaning of words and phrases. |
| extensive | The extensive modeling failed to predict the outcomes accurately. |
| atmospheric | Computer simulations are crucial to atmospheric modeling and predicting the earth's climate. |
| interactive | The interactive modeling tool allows users to customize and visualize their data in real time. |
| appropriate | The doctor's appropriate modeling of the disease helped the patient understand their condition. |
| careful | The painstakingly detailed carvings show careful modeling |
| integrated | Their integrated modeling approach helped them to predict the behavior of the system. |
| qualitative | Qualitative modeling is a mathematical approach that describes the behavior of systems using qualitative variables and rules. |
| visual | Visual modeling is a technique that uses visual representations to describe and analyze a system. |
| connectionist | Connectionist modeling attempts to simulate the neural structures and processes of the human brain. |
| regional | Regional modeling is used to study the impact of climate change on specific areas. |
| logical | This logical modeling is used to ensure the system behaves as expected. |
| discrete | The discrete modeling approach is beneficial for analyzing complex systems with many interconnected components. |
| successful | She achieved successful modeling and became a well-known fashion icon. |
| functional | The functional modeling approach focuses on developing a system model that represents the system's functions and their relationships. |
| psychological | The psychological modeling of the patient's behavior was crucial for developing an effective treatment plan. |
| variable | Variable modeling simplifies complex systems by representing their components and interactions algebraically. |
| time | Our expert developers help companies develop their time modeling |
| forward | Forward modeling is a computational technique used to predict the physical properties of a material or system. |
| analytic | The product team used analytic modeling to explore different pricing strategies. |
| live | The live modeling session will begin shortly. |
| role | She's a great role modeling for young girls. |
| mechanical | The mechanical modeling for the hand was done using finite element analysis. |
| multivariate | Multivariate modeling is a statistical technique used to analyze the relationship between multiple dependent variables and one or more independent variables. |
| precise | Precise modeling is essential for an accurate assessment. |
| thermodynamic | Thermodynamic modeling is utilized to understand the thermodynamic properties, phase behavior, and thermodynamics-based correlations for the prediction of the properties. |
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