利用协同人工神经网络挖掘神经计算的潜力

M. Hora
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摘要

大自然一直是利用技术开发新模式的灵感来源。神经计算是一个以自然现象及其原理为基础的新兴领域。在信息处理的时代,大自然为技术灵感提供的最具挑战性但又最有效的处理模式就是人类的大脑。这种灵感带来了技术与异常自然案例相结合并使其正确运行的机会。本文探讨了这一领域的潜力,它具有开辟新视野和产生新可能性的能力。虽然科技不能取代大自然赐予生命,但它可以在大自然无法自我治愈的时候,利用神经计算来支持和保护它。在神经计算领域,提出了一种自然与技术协同工作的新方法——协同人工神经网络(CANN)。CANN能够替代部分受损的人体神经系统,从而支持正常的身体过程并赋予新生命。本文最后讨论了该领域的力量,特别是CANN,以及它的可行性。
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Discovering the unearthed potential of Neural Computing with Coordinated Artificial Neural Networks
Nature has always been an inspiration for developing new models using technology. An emerging and promising field which has natural phenomena and their principles as its roots is Neural Computing. In an era of information processing, the most challenging yet efficient processing model offered by the nature, for technological inspiration, comes in the form of human brain. This inspiration brings along with it an opportunity for technology to unite with the abnormal natural cases and enable them to operate correctly. This paper explores the potential of this field which has the capability to open new horizons and generate new possibilities. Although technology can't replace nature for gifting life, it can use Neural Computing to support and guard it in times when nature sees no self-cure. A new methodology under Neural Computing, named as Coordinated Artificial Neural Network (CANN) is proposed where nature and technology work in unison. CANN is capable of replacing parts of the damaged human nervous system, thus supporting normal body processes and giving a new life. The paper concludes with a discussion about the power of this field, especially CANN, and its feasibility.
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