Programmer Think

The selection of prediction model parameters plays an important role in its generalization ability and prediction accuracy. The parameters of least squares support vector machine based on RBF kernel function mainly involve penalty factor and kernel function parameters. The selection of these two parameters will directly affect the learning and ...

I. concept of extreme learning machine Extreme learning machine (ELM) is an algorithm for solving single hidden layer neural network proposed by Huang guangbin. The biggest feature of ELM is that for traditional neural networks, especially single hidden layer feedforward neural networks (SLFNs), it is faster than traditional learning algorith ...

1, Introduction 1 overview of genetic algorithm Genetic Algorithm (GA) is a part of evolutionary computation. It is a computational model simulating Darwin's genetic selection and natural elimination of biological evolution process. It is a method to search the optimal solution by simulating the natural evolution process. The algorithm is simp ...

In many scenarios, we need to decompose the signal to facilitate our next operation. The commonly used decomposition methods can include EMD family, such as EMD, EEMD, FEEMD, CEEMDAN, ICEEMDAN, etc. of course, there are also wavelet decomposition and empirical wavelet decomposition. In short, there are many decomposition methods. Different deco ...

1 particle swarm optimization 1.1 research background The development process of particle swarm optimization algorithm. Particle swarm optimization algorithm (partial swarm optimization PSO), each particle in the particle swarm represents the possible solution of a problem. The intelligence of problem solving is realized through the simpl ...

1, Get code method Get code method 1: The complete code has been uploaded to my resources: [digital signal modulation] binary differential phase shift keying modulation (2DPSK) based on MATLAB [including Matlab source code phase 163] Get code method 2: By subscribing to the payment column of zijishenguang blog, private bloggers can obtain thi ...

I. particle swarm optimization Particle swarm optimization algorithm was proposed by Dr. Eberhart and Dr. Kennedy in 1995. It comes from the study of bird predation behavior. Its basic core is to make use of the information sharing of individuals in the group, so as to make the movement of the whole group produce an evolutionary process from d ...

1, Introduction of BP neural network traffic sign recognition Road traffic signs are used to prohibit, warn, instruct and restrict road users to use roads in an orderly manner to ensure travel safety If the road traffic signs can be recognized automatically, the occurrence of road traffic accidents will be greatly reduced However, due to the c ...

Variation of electron concentration with temperature in semiconductors Description of experimental principle Experimental purpose Understand the principle of carrier concentration varying with temperature.Understand the functions and basic usage of Medici software.Master the solution of Fermi level, carrier concentration, electric neutra ...

I. particle swarm optimization Particle swarm optimization algorithm was proposed by Dr. Eberhart and Dr. Kennedy in 1995. It comes from the study of bird predation behavior. Its basic core is to make use of the information sharing of individuals in the group, so as to make the movement of the whole group produce an evolutionary process from d ...