“多层前馈神经网络”的概念、定义、翻译、参考文献-科学参考

单词	多层前馈神经网络
释义	多层前馈神经网络 Encyclopedia 理学神经网络学习释 multi-layer feedforward neural network多层前馈神经网络前馈神经网络为人工智能领域中最早发明的简单人工神经网络类型。单层前馈神经网络只包含一个输出层，输出层上节点的值（输出值）通过输入值乘以权重值直接得到。多层前馈神经网络是指在单计算层感知器的输入层与输出层之间引入隐层（隐层个数可以大于或等于1）作为输入模式的内部表示，不同于循环神经网络，它的内部不会构成有向环。
随便看	methods of archaeological mapping methods of calculation of energy bands in solids methods of costume design methods of criminal psychology research methods of detailed planning methods of determining hydrodynamic coefficient methods of dialectical logic methods of electromagnetic measurements methods of environmental analysis methods of health maintenance in sexual intercourse Methods of Ideological Education methods of legal interpretation methods of literature acquisitions Methods of Logic methods of macroeconomic adjustment and control methods of measuring reaction rates methods of micro-wear analysis on jades methods of national economic management methods of opera teaching methods of plan formulation methods of policy evaluation Methods of Project Decision Trees Methods of Project Organizational Breakdown Structures methods of readjustment on Sino-Classical works methods of risk management

科学参考收录了854744条科技类词条，基本涵盖了常见科技类参考文献及英语词汇的翻译，是科学学习和研究的有利工具。