资源列表
pl_fc_deduction
- 人工智能 PL_FC 合取范式(CNF)的前向推理-AI PL_FC conjunctive normal form (CNF) forward reasoning
NMF
- 非负矩阵Non-negative分解的人脸识别NMF 可正常运行.-Non-negative matrix factorization NMF for face recognition algorithms can be the normal
coherent
- 阵列信号处理 信号源之前相关性验证，判断信号之间 相干 不相关 相关-Array signal processing before the signal source to verify the correlation, coherence irrelevant correlation between the decision signal
bpnn
- BP神经网络的简单例子，使用C++编写。-Simple example of BP Neural Network
chapter06
- Pytho实现语言bp神经网络，内含数据集，适合初学者。-Pytho implementation language bp neural network, containing data sets for beginners.
netbp
- 一个神经网络程序，适合初学者，经典有用，有利于扎实基础-A neural network procedures, suitable for beginners, classic useful, is conducive to a solid foundation
e
- 无线传感器网络路由优化 蚁群算法 有消耗能量 生命周期-Wireless sensor network routing ant colony optimization algorithm life cycle energy consumption
Firefly_test
- 一种新颖人工智能萤火虫群优化算法测试代码-Artificial intelligence swarm optimization algorithm test code
tempotron
- Tempotron算法简单实现，Spiking神经网络初学，实现的学习算法-Tempotron algorithm is simple to achieve, Spiking Neural Network beginner to achieve learning algorithm
Experiment-1
- 王明哲 一． 实验题目 八数码问题 二． 实验目的 1. 掌握启发式搜索A*算法的原理 2. 实现用A*算法求解具体问题 三． 实验内容 -one. Experimental topic Eight digital issues two. Purpose 1. Grasp the principle of the heuristic search A* algorithm 2. A* algorithm to solve specific proble
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- 利用SVM算法进行单层竞争神经网络的数据分类患者癌症发病预测-Prediction of Cancer Incidence in Patients with Single- Level Competitive Neural Network Classification Using SVM Algorithm
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- 算法流程：选定训练集和测试集-数据预处理-交叉验证选择最佳参数-分类准确率-预测-利用最佳参数训练SVM-Algorithm flow: selected training set and test set- data preprocessing- cross-validation selection of the best parameters- classification accuracy- prediction- training SVM using the best parameter