Location History:
- Köln, DE (2006)
- Kürten, DE (2008)
Company Filing History:
Years Active: 2006-2008
Title: Georg Mogk: Innovator in Neural Networks and Experiment Design
Introduction
Georg Mogk is a notable inventor based in Kürten, Germany. He has made significant contributions to the fields of neural networks and experimental design, holding a total of 2 patents. His work focuses on enhancing the efficiency and accuracy of machine learning processes.
Latest Patents
One of Georg Mogk's latest patents is titled "Method for training neural networks." This invention relates to a system and a method for training multiple neural networks. It involves determining a first training data record with a specific accuracy, generating several second training data records by perturbing the first record with a random variable, and training each neural network with one of these records. This system allows for prognosis and estimation of prognosis error, showcasing its potential in advanced machine learning applications.
Another significant patent is the "Method and system for the automatic design of experiments." This invention outlines a method for automatically designing experiments, streamlining the process and improving the reliability of experimental outcomes.
Career Highlights
Georg Mogk has worked with prominent companies such as Bayer Technology Services GmbH and Bayer Aktiengesellschaft. His experience in these organizations has contributed to his expertise in innovation and technology development.
Collaborations
Throughout his career, Georg has collaborated with notable colleagues, including Thomas Mrziglod and Rolf Burghaus. These partnerships have likely enriched his work and expanded the impact of his inventions.
Conclusion
Georg Mogk stands out as an influential inventor in the realm of neural networks and experimental design. His patents reflect a commitment to advancing technology and improving methodologies in these fields.