Easily build predictive models and surrogate models using AI (deep learning). Japanese version released.
"Neural Designer" is a no-programming-required application that allows you to easily build predictive models using deep learning. It supports the creation of three types of predictive models: approximation models, classification models, and time series forecasting models. (In particular, approximation models are also referred to as regression models or surrogate models.) Using various measurement data and simulation results, you can construct predictive models with neural networks. This enables significant time savings in simulations. It is also effective for optimizing operating conditions and settings for various devices and machinery. 【Features】 ■ Not only can you build predictive models, but you can also output relationships and create surrogate models. ■ Basic statistical processing, such as checking for missing values in data analysis, can be performed with one button. ■ You can visualize the relationship between the target variable and each design variable in a graph. ■ The relationship between the target variable and each design variable can be expressed in the form of y=f(x). ■ The created models can be output in C or Python format. *For more details, please refer to the documentation. Feel free to contact us with any inquiries. ★ With the version upgrade, functionality and convenience have been further enhanced! The "Optimization (Inverse Analysis)" and "Japanese Version" have been released.
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basic information
【Other Features】 - Compatible with Windows 10 machines - Available in on-premises and cloud versions (AWS) 【Application Examples (Excerpt)】 <Engineering Field> - Modeling the strength of high-performance concrete - Predicting residual resistance of sailing yachts - Predicting noise generated from wings - Predicting the adhesion of nanoparticles to blood vessels <Energy & Utilities> - Predicting power generation of combined cycle power plants - Modeling power generation of wind turbines <Environment> - Modeling pollutant emissions and proposing reduction measures - Modeling toxicity levels in water bodies <Medical & Health> - Remote monitoring of Parkinson's disease - Diagnosing breast cancer from fine-needle aspiration images <Retail> - Modeling wine quality based on physicochemical tests
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*For more details, please refer to the materials. Feel free to contact us as well.*
Detailed information
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Neural Designer is an AI software that requires no programming. You can easily build AI prediction models using only mouse-based GUI operations. By utilizing these prediction models, it is possible to shorten simulation times and optimize operating conditions and settings for various devices.
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High performance that allows you to quickly check results even on a portable laptop.
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This is an image of the adaptation of Neural Designer in a manufacturing environment.
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Neural Designer can perform three types of model predictions: approximation prediction, classification prediction, and time series prediction.
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As Neural Designer, you can check the results from data preprocessing to model utilization with just a mouse click.
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The results can be widely utilized for trend and factor analysis, design and condition optimization, and systematization.
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Specific example of an approximate model: It is possible to predict the strength of concrete.
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Specific example of a classification model: It is possible to predict the failure diagnosis of ultrasonic flow meters.
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Specific examples of time series forecasting models can predict air pollutants.
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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into one that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.
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