XOR Logic Gate
收藏arXiv2025-09-30 收录
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https://neat-python.readthedocs.io/en/latest/xor_example.html
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资源简介：
该数据集包含了一个双输入的符号逻辑门——异或（XOR），它被用来发展一个网络，该网络能够区分正确的布尔输出，即真（1）和假（0）。初始奖励设置为4.0，并根据理想输出与实际输出之间的欧几里得距离逐渐降低。这一基准环境旨在进化一个神经网络，以准确预测异或门的输出。
This dataset contains a two-input symbolic logic gate, the Exclusive OR (XOR), which is utilized to develop a neural network capable of distinguishing between the correct Boolean outputs: true (1) and false (0). The initial reward is set to 4.0, and it decreases progressively based on the Euclidean distance between the ideal output and the actual output. This benchmark environment is designed to evolve a neural network that can accurately predict the output of the XOR gate.
提供机构：
neat-python
