AI "Neural Designer" that anyone can easily use right now.
We have the data but not the knowledge, we have the knowledge but want to try it out—this is perfect for companies like yours!
■I have data thrown into Excel and other tools, but I don't know how to utilize it. ■I don't have any 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 troublesome programming, 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 troublesome programming and focus on your core work?
basic information
Neural Designer is an AI software that requires no programming. In recent years, AI, especially neural networks, has been widely discussed and applied in various fields, demonstrating its performance. However, typically, utilizing it requires not only programming skills but also knowledge of machine learning and the associated mathematics, making the barrier 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, it is possible to reduce simulation time and optimize operating conditions and settings for various devices.
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Applications/Examples of results
<Prediction of Residual Resistance for Yachts> Predicting residual resistance based on hull shape and speed. <Reduction of Gas Emissions from Combined Cycle Power Plants> Predicting nitrogen oxide emissions based on device pressure/temperature, environmental conditions, and turbine output. <Failure Diagnosis of Ultrasonic Flow Meters> Diagnosing the presence of flow meter failures based on fluid information within the device. <Modeling of Compressive Strength of Concrete> Predicting compressive strength based on the composition of concrete. <Prediction of Noise Generated by Airplane Wings> Predicting noise based on wing shape and airflow. <Performance Improvement of Combined Cycle Power Plants> Predicting power generation based on exhaust performance of combustion devices and environmental conditions. <Modeling of Output Curves for Wind Power Generation> Predicting power generation based on wind speed. <Prediction of Total CO2 Emissions from Automobiles> Predicting CO2 emissions based on vehicle type, engine displacement, transmission type, number of cylinders, and fuel type/consumption. <Construction of a Digital Twin for Electric Motors> Predicting motor speed, torque, and stator temperature (yoke/tooth/winding) based on ambient temperature, cooling water temperature, and current/voltage. <Time Series Prediction of Power Generation from Solar Power Plants> Predicting power generation based on 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 just mouse-based 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 make 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 pollution substances.
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