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NeuralSight

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NeuralSight

last updated:Dec 21, 2023

SETソフトウェア データ分析・活用ソリューション担当
SETソフトウェア データ分析・活用ソリューション担当
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Fully automating the search for the best model applicable to business, strongly supporting the development of a robust estimation system based on collective learning.

NeuralSight is positioned as a superior product to NeuralWorks Predict and maximizes the results of problem-solving solutions based on the analytical models we propose. NeuralSight automates the parameter tuning process, which has traditionally required trial and error, by allowing users to set conditions for model building through a GUI. It enables the visual selection of applicable models for operations from a generated group of models (ranging from hundreds to thousands) while aligning with practical insights. This makes it a powerful tool that significantly enhances development productivity and reduces development costs. Additionally, it strongly supports the development of estimation models based on collective learning, which addresses the shortcomings of neural network models in point estimation compared to probabilistic models like Bayesian statistics, by leveraging the output distribution of numerous high-performance models generated. This package includes a runtime engine for developing and testing business applications based on predictive models.

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NeuralSight

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  • Related Link - https://www.setsw.co.jp/business/neuralworks.html

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basic information

NeuralSight is a tool designed to maximize the capabilities of NeuralWorks Predict, allowing researchers and analysts to build robust neural network models for forecasting, classification, and stratification applications. It provides a GUI for handling large datasets that exceed the capacity of Microsoft Excel (prior to 2003), accommodating more than 256 variables and 65,000 records. By enabling users to specify optimal evaluation criteria for model construction, NeuralWorks Predict is further enhanced. As a result, NeuralSight can automatically build models without manual intervention and select the best model from many neural network models. Specifically, building and evaluating analytical models for large-scale applications or diagnostic equipment with various input parameters requires enormous time and effort, as well as additional time to calculate and consider evaluation metrics. NeuralSight automates these processes, allowing for the construction of hundreds or even thousands of models without human involvement, significantly increasing productivity and reducing development costs.

Price information

Commercial License: 4,980,000 yen Annual Maintenance Fee: 880,000 yen Academic License: 2,580,000 yen Annual Maintenance Fee: 260,000 yen All prices above are excluding tax.

Price range

P5

Delivery Time

Please contact us for details

※Delivery is possible within a minimum of 2 weeks.

Applications/Examples of results

<Application> Power demand forecasting system for small and medium-sized buildings, learning-type robotic cameras, moisture content prediction in the wood drying process, combustion control model for automobile engines, vehicle control model (F1), corrosion occurrence prediction for plants, development of plant control models and digital twin creation, recycling support based on plastic identification models, yield factor identification in semiconductor production lines, support for traditional Chinese medicine prescriptions, portfolio analysis support for securities companies, support for Nikkei 225 futures trading, ATM cash demand forecasting, corporate rating prediction models, call center incoming call forecasting, production planning support based on sales forecasts, new product sales quantity forecasting, convenience store private brand product demand forecasting, lake algal bloom occurrence prediction system, crop growth forecasting in plant factories, optimization of yeast cultivation conditions, flowering date prediction based on gene expression, visualization analysis of gene expression time series data, product defect rate forecasting in foundries, cupola melting expert system, organizational decision-making support system through shared analytical models.

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NeuralSight

NeuralSight

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Business problem-solving and business solution development support services based on the Neural Works analysis model.

Business problem-solving and business solution development support services based on the Neural Works analysis model.

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Examples of user utilization in research and development

Examples of user utilization in research and development

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Collection of Topics for Neural Works Analysis Model Development

Collection of Topics for Neural Works Analysis Model Development

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Data utilization support solution using the Neural Works analysis model - Providing everything from analysis models to business support systems.

Data utilization support solution using the Neural Works analysis model - Providing everything from analysis models to business support systems.

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Neural Works Product FAQ

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Neural network analysis model development environment

Neural network analysis model development environment

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Seminar on Creating and Utilizing Analytical Models for Solving Management and Business Issues - Grasping the Entire Steps for Problem Solving Based on Analytical Models, from Excel Linear Analysis to the Basics of Neural Network Analysis.

  • Seminar・Event

The development of AI based on machine learning that utilizes large amounts of data and abundant computational resources has proven that Go AI can possess the skill to defeat the strongest active players, leading to heightened expectations for its application in solving various unsolved problems. Furthermore, recent dialogue-based AI models based on large-scale language models are significantly changing the speed and quality of intellectual production. On the other hand, in the business world, digital transformation (DX) of management and business processes is being promoted to meet the diverse needs of consumers. However, in overwhelmingly many companies, the current situation is that they are either only partially introducing digital tools into their business processes or are unable to capitalize on opportunities for business transformation due to the difficulty of making investment decisions for systems based on data utilization, the lack of expertise in data analysis techniques, and the absence of personnel skilled in organizational operations that lead to results. In this seminar, we will acquire practical knowledge through demonstrations on the following topics: - Problem-solving processes based on analytical models - Handling of small data, which poses challenges in the use of analytical models, along with various case studies - Excel-based analytical model development environments effective for sharing organizational know-how - Case studies of organizational analytical model applications directly linked to solving management issues.

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Seminar on Creating and Utilizing Analytical Models for Solving Management and Business Challenges

  • Seminar・Event

The development of AI based on machine learning utilizing big data and abundant computing resources, particularly the recent interactive AI based on large-scale language models, is significantly changing the speed and quality of intellectual production. On the other hand, in the business world, there is a growing call for the digital transformation (DX) of business processes to meet the diverse needs of consumers in a global market. Companies are emerging that are developing AI systems based on unique analytical models aimed at utilizing data, which is an essential element, and are achieving results. However, in the overwhelming majority of companies, the difficulty of making investment decisions for system infrastructure based on data utilization, the lack of expertise in data analysis techniques, and the absence of personnel familiar with organizational operations to translate these into results are leading to significant opportunity losses. In this seminar, while introducing case studies from the manufacturing industry, we will deepen practical knowledge and understanding through demonstrations on the following topics: - In the problem-solving process based on analytical models, handling small data, which is a major issue, and various utilization examples. - The use of a programming-free analytical model development environment based on Excel, which is beneficial for organizational use of analytical models.

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Seminar on Creating and Utilizing Analytical Models for Solving Business Challenges - Grasping the Overall Picture of Steps Toward Problem Solving Based on Analytical Models, from Excel Linear Analysis to Neural Network Analysis.

  • Seminar・Event

A seminar on the fundamentals of analytical models and their application in business decision-making, supporting a society where the use of AI becomes commonplace. Recently, I have had more opportunities to consult on the use of ChatGPT in business. Due to its characteristics as a statistical model, ChatGPT is effective in reducing costs for obtaining general answers, but it tends to generate incorrect responses when asked about rare information (outliers). In business applications, it is expected to be fully utilized for actions that were previously required or abandoned to gain basic knowledge beyond the conventional scope of work. In this seminar, we will learn how to handle the necessary data and methods to enhance the reliability of such statistical models, based on Excel.

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An Introduction to Nonlinear Experimental Design Methods Using Experimental Design Techniques for Engineers and Artificial Intelligence That Can Be Built on Excel - Basics and Implementation Procedures of "Experimental Design Methods in Manufacturing" and "Nonlinear Experimental Design Methods Using Artificial Intelligence to Address Complex Phenomena Where Experimental Design Methods Fail."

  • Seminar・Event

1. Problems with typical existing development methods 2. What is experimental design? 3. Problems with experimental design 4. Solutions to the problems of experimental design: Utilizing neural network models (super regression) 5. How to find optimal conditions using neural network models (super regression) 6. Other problems specific to experimental design in the manufacturing industry 7. Introduction to reference materials for learning 8. Q&A for the entire session

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SETソフトウェア

SETソフトウェア データ分析・活用ソリューション担当

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Since its establishment in 1973, we have built a wide range of systems including host-based, open systems, and control systems, as well as providing IT personnel dispatch, software and package sales, and consulting services. Furthermore, we are broadly expanding our provision of business solutions that address operational challenges, primarily in the manufacturing industry.

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