资源列表
LR_87
- LR算法 步长不定、迭代1000次，验证机上跑出来准确率有87 -LR algorithm step uncertain, iteration 1000, verify the accuracy of the machine has run out 87
PLA_initial
- 感知机算法基础实现 带Accuracy、Recall、Precision、F1 的计算-Perceptron algorithm underlying implementation with Accuracy, Recall, Precision, calculation of F1
PLA_pocket
- PLA口袋算法实现 包含Accuracy、recall、precision、F1四大指标的验证-Verify PLA pocket algorithm contains Accuracy, recall, precision, F1 four indicators
FSA_SolveFun
- matlab 编写的模拟退火算法，快速模拟退火算法，可用于求最值点-matlab prepared simulated annealing algorithm, simulated annealing algorithm can be used to find the best value for point
LGA_SolveFuc
- 自己写的遗传算法 在求二次方程最小值时亲测可用 -Write your own genetic algorithm when uated quadratic minimum pro-test available
fozzy-logic
- 基于模糊逻辑工具箱的高速公路匝道控制 匝道控制有关的许多概念都具有模糊性，如交通状况(畅通、饱和、拥挤、堵塞等)、匝道排队长度、流量大小、车流稳定性等。本文用MATLAB模糊逻辑工具箱设计高速公路入口匝道控制器，并进行了仿真研究。-Freeway Ramp Control Based on Fuzzy Logic Toolbox Many of the concepts related to ramp control are ambiguous, such as traffic cond
daolibai-Fozzy-logic
- 倒立摆控制系统是一个复杂的、不稳定的、非线性系统，是进行控制理论教学及开展各种控制实验的理想实验平台。对倒立摆系统的研究能有效的反映控制中的许多典型问题：如非线性问题、鲁棒性问题、镇定问题、随动问题以及跟踪问题等。通过对倒立摆的控制，用来检验新的控制方法是否有较强的处理非线性和不稳定性问题的能力。利用模糊控制对倒立摆进行控制-Inverted pendulum control system is a complex, unstable, nonlinear system, which is an
Neural-Network-Noise-Cancellation
- ，自适应神经网络噪声抵消系统不需要关于输入信号的先验知识，非线性映射能力强，具有自学习能力、计算量小和实时性好等特点，利用该系统对含噪声的非线性信号建模，可达到消除噪声的目的。-The adaptive neural network noise canceling system does not need prior knowledge about the input signal, strong nonlinear mapping ability, self-learning ability,
Two-tank-water-level-fuzzy-pid
- 针对双容水箱液位会受到外界环境干扰和内部摄动的影响，导致水箱液位出现较大波动等问题，提出将模糊控制技术与PID控制相结合的自适应水箱液位控制方法，设计出自适应模糊PID控制器。-Aiming at the problem that the level of the double-tank is affected by the disturbance of the external environment and the internal perturbation, the water level
aga2
- 自适应遗传算法用MATLAB编写的码源，很难找，非常值得借鉴，珍惜。- Adaptive Genetic Algorithm
bp-neural-network
- bp神经网络C++改进啊啊 啊啊 啊啊啊 啊-bp neural network c++ prompt
bisq
- 弹性波在饱和多孔介质中传播的BISQ模型MATLAB源码。-Elastic wave propagation in saturated porous media BISQ model MATLAB source.