人工神经网络的研究在经历了“感知机”(perceptron)、“Hopfield模型”、“Back Propagation(BP)算法”等几轮大浪潮之后,近年深度学习算法(deep learning)开始进入实用阶段,例如,在语音识别、图像识别、大数据分析等领域已经获得较大成功,显露出了人工智能巨大的商业价值和未来发展的无穷潜力,因此也已经成为各国竞相投入的热门研究领域.人工智能的研究成果对于人类未来的影响不言而喻,但现实还没有想象得那么乐观,毕竟目前的人 The research of artificial neural network has undergone several big waves such as perceptron, Hopfield model and Back Propagation algorithm. In recent years, deep learning, For example, it has achieved great success in fields such as speech recognition, image recognition and big data analysis, revealing the huge commercial value of artificial intelligence and the immense potential for future development, and thus has also become a hot topic competed by countries Areas of research: The impact of artificial intelligence research on the future of humanity is self-evident, but the reality is not yet so optimistic