A5012554442- Neural Networks and Applications
- Geochemistry and Geologic Mapping
- Image Processing Techniques and Applications
- Sensor Technology and Measurement Systems
- Infrared Target Detection Methodologies
- Image Processing and 3D Reconstruction
- Advanced X-ray and CT Imaging
- Mineral Processing and Grinding
- Handwritten Text Recognition Techniques
- Blind Source Separation Techniques
- Particle Accelerators and Free-Electron Lasers
- Scientific Research and Discoveries
- Particle accelerators and beam dynamics
- Nuclear Physics and Applications
The University of Sydney
2024
Osaka University
1990-2003
A pattern recognition system which works with the mechanism of neocognitron, a neural network model for deformation-invariant visual recognition, is discussed. The neocognition was developed by Fukushima (1980). has been trained to recognize 35 handwritten alphanumeric characters. ability deformed characters correctly depends strongly on choice training set. Some techniques selecting patterns useful large number are suggested.
The authors present an improved neocognitron, in which bend-detecting cells, as well line-extracting are utilized. In contrast to the conventional has shown a lesser ability recognize deformed patterns when trained using unsupervised learning than by supervised learning, new system shows considerable robustness even learning. can also accept some variation line thickness of input patterns. Edge-extracting built into network, effectively used for this purpose. A is extracted from edges on...
Abstract The surging demand for Ni and Co, driven by the acceleration of clean energy transitions, has sparked interest in Lachlan Orogen New South Wales its potential lateritic Ni–Co resources. Despite recent discoveries, a substantial knowledge gap exists understanding full scope these critical metals this geological province. This study employed machine learning-based framework, integrating multidimensional datasets to create prospectivity maps deposits within specific segment. framework...