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Applied Artificial Higher Order Neural Networks for Control and Recognition书籍详细信息

ISBN：9781522500636
作者：暂无作者
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适合人群：Engineers, Data Scientists, Machine Learning Researchers, Computer Scientists, AI Enthusiasts, Control Systems Engineers, Postgraduate Students in Computer Science and Engineering
TAG：Machine Learning / Artificial Intelligence / Neural Networks / Control Systems / advanced mathematics / Pattern Recognition
豆瓣评分：暂无豆瓣评分
更新时间：2025-05-16 21:27:57

内容简介：

In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless. Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.

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