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Hybrid connectionist systems in research and teaching

机译:研究与教学中的混合连接系统

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摘要

There is a tremendous world-wide interest in the development of the theory and application of artificial intelligence (AI) and related techniques both in tertiary institutions and in industry. This paper presents a brief survey of overseas AI teaching programs together with a review of the teaching program in the University of South Australia. In addition, post-graduate projects undertaken by the Knowledge-Engineering Systems Group (KES), and sponsored by the Defence, Science and Technology Organisation (DSTO), are discussed. These involve expert systems, neural networks, fuzzy logic and genetic algorithms. It is shown by using a classical exclusive-OR problem that it is useful to use hybrid techniques which offer fast convergence in optimization problems. Although much of this work is still at an early stage, sufficient progress has been made to demonstrate the merit of using AI and related techniques to help create solutions to these problems.
机译:大专院校和工业界对人工智能(AI)及其相关技术的理论和应用的发展引起了全世界的极大兴趣。本文简要介绍了海外AI教学计划,并对南澳大利亚大学的教学计划进行了回顾。此外,还讨论了由知识工程系统小组(KES)承担并由国防,科学技术组织(DSTO)赞助的研究生项目。这些涉及专家系统,神经网络,模糊逻辑和遗传算法。通过使用经典的异或问题表明,使用在优化问题中提供快速收敛的混合技术很有用。尽管许多工作仍处于早期阶段,但是已经取得了足够的进展,以证明使用AI和相关技术来帮助创建这些问题的解决方案的优点。

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