Zheng Ma

Title: Innovations by Zheng Ma in Identifying Oplegnathus Punctatus

Introduction

Zheng Ma is an accomplished inventor based in Yantai, China. He has made significant contributions to the field of technology, particularly in the identification of marine species. His innovative approach utilizes advanced neural network techniques to enhance the accuracy of species identification.

Latest Patents

Zheng Ma holds a patent titled "Method for identifying individuals of oplegnathus punctatus based on convolutional neural network." This patent describes a method that employs a convolutional neural network to identify individual fish of the species oplegnathus punctatus. The method involves three continuous convolutional layers and an average pooling layer for target initial positioning. A region of feature interest point is obtained, and a hyperparameter candidate box is set to determine the region, thus approximating the target object's position. The II_Net backbone convolutional neural network consists of six convolutional layers and four pooling layers, incorporating a LeakyReLU activation function in the first convolutional layer. The model also utilizes convolutional network layers from Alexnet and a maximum pooling layer with an overlapped pooling structure. Fully connected layers leverage a genetic algorithm to enhance data transmission between layers. The established model effectively identifies individual oplegnathus punctatus using test data.

Career Highlights

Zheng Ma is affiliated with Ludong University, where he contributes to research and development in his field. His work has garnered attention for its innovative use of technology in biological identification.

Collaborations

Zheng Ma collaborates with notable colleagues, including Jun Yue and Beibei Li, who contribute to his research endeavors.

Conclusion

Zheng Ma's innovative methods in identifying marine species through convolutional neural networks represent a significant advancement in the field. His contributions not only enhance species identification but also pave the way for future research in marine biology.