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信息编号:296682334,公司编号:14832749
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产品数量:9999.00 套
包装说明:不限
产品单价:面议
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Engineers working toward an optimized design must develop their software and physical system together. MathWorks physical modeling tools bring accuracy and efficiency to this effort by enabling you to:
Assemble system-level models that span multiple physical domains and include the control system in a single environment
Create reusable models of your physical system with physical ports, in addition to input and output signals
Model custom physical components (mechanical, electrical, and other physical domains) using a MATLAB based physical modeling language
Extend your analysis with 3D visualization and additional simulation methods
You can convert the models of your physical system to C code and deploy the code to other environments for tasks such as hardware-in-the-loop (HIL) testing. These models support all phases of Model-Based Design.
Start Simple—No Programming Experience Required
Get started quickly by executing commands interactively with immediate results.
MathWorks Cloud
MathWorks Cloud provides you with instant access to MATLAB and other products and services you are licensed for hosted on MathWorks managed cloud infrastructure. With MATLAB Online™, you can use MATLAB in a web browser without installing, configuring, or managing any software. MathWorks Cloud also provides MATLAB Drive™, giving you the ability to store, access, and work with your files from anywhere. You can access MathWorks Cloud solutions anywhere across different devices, use them to teach and learn, and to incorporate MATLAB analytics for a variety of applications.
MATLAB在数据科学中的应用:
Explore data; build machine learning models;
do predictive analytics
MATLAB® makes data science easy with tools to access and preprocess data, build machine learning and predictive models, and deploy models to enterprise IT systems.
Access data stored in flat files, databases, data historians, and cloud storage, or connect to live sources such as data acquisition hardware and financial data feeds
Manage and clean data using datatypes and preprocessing capabilities for programmatic and interactive data preparation, including apps for ground-truth labeling
Document data analysis with MATLAB graphics and the Live Editor notebook environment
Apply domain-specific feature engineering techniques for sensor, text, image, video, and other types of data
Explore a wide variety of modeling approaches using machine learning and deep learning apps
Fine-tune machine learning and deep learning models with automated feature selection and hyperparameter tuning algorithms
Deploy machine learning models to production IT systems, without recoding into another language
Automatically convert machine learning models to standalone C/C++ code
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