Phd Thesis (Abstract): Information Analysis using Softcomputing

- Penulis: Anto Satriyo Nugroho
- Bahasa: Inggris
- Jumlah Halaman: 5
- Format file: PDF
- Publisher: Nagoya Institute of Technology, IlmuKomputer.Com
- Tahun terbit: January 2003
- Download thesis lengkap (PDF): anto-abstract-sc.zip

The rapid progress in computer hardware industry has become a great contribution to the progress of research in various fields. Many computational problems with complex calculations can be solved within a reasonable time, opening many inventions in a broad spectrum. Part of these problems have clearly specified formulas and procedures to obtain the solutions. The algorithms can be described very clear, from one to the next steps, towards the final solution. In such cases, computer will give very accurate result within very short computational time. It is no doubt to conclude that in this sense, the performance of computer is much superior to that of human brain.

A solution of a computational task, however, can not always be stated clearly. Many problems in real-life domain are always accompanied by imprecision or uncertainty factors. Sometimes the information is far from complete, but a precise decision is required. In such situation, human can make a correct decision, while computer requires complex calculation to make a mathematical model of the problem. One example of problems with such properties is handwriting character recognition. According to the conventional methods described in prior, we have to collect almost unlimited amount of representative handwriting samples, and derive a certain formula or rule to make a decision to which character that a handwriting pattern should be classified. However, this kind of effort is not practical and the formula will not tolerate to any deviation might occur in the handwriting pattern of different persons. The character recognition system should also tolerate the imprecision and uncertainty as common characteristics of the handwriting characters. The solution to problems with these properties is a family of algorithms named softcomputing.