Easier approaches to diverse time series data! ML learning and inference tools compatible with multi-factor data.
"Solid Ai(TM)" is an AI tool that sets the computational elements of a Neural Network, learns from pre-prepared training data, and obtains the desired predictive calculation result data. When the prediction button is pressed, the predicted value for the specified data ID is calculated using the weight coefficients for each group ID from the learning results. The prediction results are displayed on a graph with the group ID on the X-axis and both the actual values and predicted values on the Y-axis, shown on the same scale. 【Features】 ■ The software's AI execution environment requires just one computer. ■ AI predictions can be realized through screen configuration work without needing to know AI programs like Python. ■ The numerical prediction results are displayed in a graph, allowing for an intuitive comparison between predicted values and actual values. ■ An interface conversion function is equipped to transform the user's time series data into the necessary past and future time data for predictions. *For more details, please refer to the related links or feel free to contact us.
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【PC Requirements】 ■OS and Hardware - OS: Windows 8.1 or higher - Memory: 4GB or more - HDD: 64GB or more *For more details, please refer to the related links or feel free to contact us.
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Our company is an independent software company that has been engaged for over 40 years in the development (specification design, manufacturing, verification, and implementation) of equipment automatic control systems and energy monitoring control systems for major clients in the energy and infrastructure sectors, as well as the development and sale of our own general-purpose controllers. We offer "Ecokit," a remote monitoring and energy-saving system that achieves super multifunctionality through the latest IoT and web technologies, condensed with our expertise, at a reasonable and flexible price. Please feel free to contact us for more information.