AI 'Neural Designer' that anyone can easily use right now.
We have the data but lack the knowledge; we lack the knowledge but want to try it out. This is perfect for companies like yours!
■I have data that I've thrown into Excel and such, 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 the hassle of programming or knowledge of Python, TensorFlow, or PyTorch, you can easily 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 the hassle of 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 predictive models using AI with just mouse-based GUI operations. By utilizing these predictive models, you can shorten simulation times 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 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 the 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 Digital Twin for Electric Motors> Predicting motor speed, torque, and stator temperature (yoke/teeth/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.
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