Creating a Brain Computational Theory for Intelligent Information Processing Systems with Engineering Applications

本研究旨在从人脑的高度创造性功能出发，创造一种脑计算理论，以克服传统计算算法的局限性。我们将超复数和量子信息理论引入计算理论，从不同角度考察这些理论，为软计算开辟了新的前景。我们的模型被证明具有很高的脑计算算法潜力，我们可以将其应用于支持图像处理、模式识别和各种诊断的模型，以开发新的智能信息系统。

This research aims at creating a brain computational theory,inspired by the highly creative functions of human brain,in order to overcome the limits of traditional computational algorithm.We introduced hyper-complex numbers and quantum information theory into computational theories,and established a new prospect for soft-computation by examining these theories from various points of view.Our model proved itself to have a high potential for a brain computational algorithm,and we could apply it to models for supporting image processing, pattern recognition and those for various diagnoses in order to develop new intelligent information systems.