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人工智能/神经网络 MASON代表多主体邻里或网络仿真(Multi-Agent Simulator of Neighborhoods or Networks)。它是乔治梅森大学用Java开发的离散事件多主体仿真核心库
MASON代表多主体邻里或网络仿真(Multi-Agent Simulator of Neighborhoods or Networks)。它是乔治梅森大学用Java开发的离散事件多主体仿真核心库,具有快速、灵活和便携的特点。它本身支持轻量级的模拟需求,自含模型可以嵌入到其他Java应用当中,还可以选择2D和3D图形显示。 ...
人工智能/神经网络 Back propagation neural networks and its Application: Time-Series Forecasting Prediction of the Annu
Back propagation neural networks and its Application: Time-Series Forecasting Prediction of the Annual Number of Sunspots
人工智能/神经网络 高级人工神经网络<Advanced Algorithms For Neural Networks>的随书程序
高级人工神经网络<Advanced Algorithms For Neural Networks>的随书程序
教育系统应用 Research on some key technologies of QoS provisioning for mobile AD-HOC networks
Research on some key technologies of QoS provisioning for mobile AD-HOC networks
人工智能/神经网络 Face Recognition Demo using Neural Networks
Face Recognition Demo using Neural Networks
人工智能/神经网络 人工神经网络和人工智能Delphi版语言的源程序(Neural Networks and AI Delphi Sources)。
人工神经网络和人工智能Delphi版语言的源程序(Neural Networks and AI Delphi Sources)。
matlab例程 IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)
IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)
人工智能/神经网络 Single-layer neural networks can be trained using various learning algorithms. The best-known algori
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer pe ...
人工智能/神经网络 Simon Haykin的 《Neural NetWorks》例子原码
Simon Haykin的 《Neural NetWorks》例子原码,相当经典。相信很有用,特别SVM PCA等
文章/文档 RTK Networks based on Geo++® GNSMART − Concepts, Implementation, Results
RTK Networks based on
Geo++® GNSMART −
Concepts, Implementation, Results