Company Filing History:
3 out of 28,559 
2 out of 233 
1 out of 1 Years Active: 1992-1999
Title: Innovations and Contributions of Ronald C Keesing
Introduction
Ronald C Keesing is an accomplished inventor based in Menlo Park, CA. He holds a total of 3 patents that reflect his significant contributions to the field of neural networks and signal processing. His work has implications for both artificial intelligence and biological systems.
Latest Patents
Keesing's latest patents include an "Apparatus and method for enhancing transfer function non-linearities." This invention presents a method and apparatus for synthesizing a network that utilizes pulse frequency encoded signals. It features a smoothly saturating transfer characteristic for large signals, which is achieved through the use of delay and an OR-gate. When connected to the output of a pulse frequency type of neuron, it results in a sigmoidal activation function.
Another notable patent is titled "Evolution and learning in neural networks: the number and distribution." This invention explores the interrelationships between evolution and learning in neural networks used for pattern recognition. Keesing demonstrates the Baldwin effect, showing that learning can influence the rate of evolution within a population's genome. He highlights that an optimal amount of learning leads to the most rapid evolution, emphasizing the importance of understanding these interactions in biological networks.
Career Highlights
Throughout his career, Keesing has worked with prominent companies such as Ricoh Company, Ltd. and Ricoh Corporation. His experience in these organizations has contributed to his expertise in the field of technology and innovation.
Collaborations
Keesing has collaborated with notable individuals, including David Geoffrey Stork, further enhancing the impact of his work in the field.
Conclusion
Ronald C Keesing's innovative patents and career achievements underscore his significant role in advancing technology related to neural networks and signal processing. His contributions continue to influence the development of artificial intelligence and our understanding of biological systems.