We have the data but lack the knowledge, or we have no knowledge but want to try using it—this is perfect for such companies!
■I have data thrown into Excel and other tools, but I don't know how to utilize it. ■I have no knowledge, but I want to experience what data analysis is like at least once. ■I want to see what kind of future predictions can be made from past data. 'Neural Designer' will solve and realize these concerns and requests! Easily with 'Neural Designer'! Start using AI right away from today! Even without the hassle of programming or knowledge of Python, TensorFlow, or PyTorch, you can immediately master AI, machine learning, deep learning, and deep learning! Of course, it is also recommended for those who are already working with AI, machine learning, deep learning, and deep learning. Especially for those who are programming to support their main business, why not free yourself from that tedious programming and focus on your core work?
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basic information
Neural Designer is an AI software that requires no programming. In recent years, AI, particularly neural networks, has been frequently discussed and has demonstrated its performance across various fields. However, typically, utilizing these technologies requires not only programming skills but also knowledge of machine learning and the associated mathematics, making the barriers to entry quite high. With Neural Designer, you can easily build AI prediction models using only mouse-based GUI operations. By utilizing these prediction models, you can achieve time savings in simulations and optimize operating conditions and settings for various devices.
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Applications/Examples of results
<Prediction of Residual Resistance of Yachts> Predicting residual resistance from hull shape and speed. <Reduction of Gas Emissions from Combined Cycle Power Plants> Predicting nitrogen oxide emissions from device pressure/temperature, environmental conditions, and turbine output. <Failure Diagnosis of Ultrasonic Flow Meters> Diagnosing the presence of flow meter failures from fluid information within the device. <Modeling of Compressive Strength of Concrete> Predicting compressive strength from the composition of concrete. <Prediction of Noise Generated by Airplane Wings> Predicting noise from wing shape and airflow. <Performance Improvement of Combined Cycle Power Plants> Predicting power generation from exhaust performance of combustion devices and environmental conditions. <Modeling of Output Curves for Wind Power Generation> Predicting power generation from wind speed. <Prediction of Total CO2 Emissions from Automobiles> Predicting CO2 emissions from vehicle type, engine displacement, transmission type, number of cylinders, fuel type/consumption. <Construction of Digital Twin for Electric Motors> Predicting motor speed, torque, and stator temperature (yoke/teeth/winding) from ambient temperature, cooling water temperature, and current/voltage. <Time Series Prediction of Power Generation from Solar Power Plants> Predicting power generation from sunlight conditions and atmospheric state.
Detailed information
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Neural Designer is an AI software that requires no programming. You can easily build predictive models using AI with mouse-only GUI operations. By utilizing these predictive models, it is possible to reduce simulation time 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 simply by clicking the mouse from data preprocessing to model utilization.
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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 It is possible to predict air pollutants.
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![[Information] Software for building predictive models using deep learning: 'Neural Designer'](https://image.mono.ipros.com/public/catalog/image/01/203/603553/IPROS81626703987764613475.jpeg?w=120&h=170)
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Company information
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.
![[Free Distribution of Proceedings] Three-Dimensional Damage Diagnosis of Cement Concrete Pavements](https://image.mono.ipros.com/public/product/image/798/2000315219/IPROS8111875052208332673.jpg?w=280&h=280)
