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    發(fā)布日期: 2023-10-02
  • 語言: Python
  • 標(biāo)簽: py??

資源簡介

首先對數(shù)據(jù)進(jìn)行PCA,然后輸入至PSO優(yōu)化的ELM中進(jìn)行分類,python代碼

資源截圖

代碼片段和文件信息

#?-*-?coding:?utf-8?-*-
“““
Created?on?Mon?Jul?29?15:16:34?2019
@author:?KLY-392503054
“““

#?coding:?utf-8??
from?scipy.io?import?loadmat
import?numpy?as?np????
import?random?????
import?matplotlib.pyplot?as?plt?
from?sklearn.decomposition?import?PCA


class?PSO():????
????def?__init__(selfpNdimmax_iterinput_nodehidden_nodeinputoutput):????
????????#----------------------PSO參數(shù)設(shè)置---------------------------------????
????????self.w??=?0.8??????
????????self.c1?=?1.5???????
????????self.c2?=?1.5???????
????????self.r1?=?0.8????
????????self.r2?=?0.3????
????????self.pN?=?pN????????????????#粒子數(shù)量????
????????self.dim?=dim??????????????#搜索維度????
????????self.max_iter?=?max_iter???#迭代次數(shù)??
????????
????????self.X?=?np.zeros((self.pNself.dim))???????#所有粒子的位置和速度????
????????self.V?=?np.zeros((self.pNself.dim))????
????????self.pbest?=?np.zeros((self.pNself.dim))???#個(gè)體經(jīng)歷的最佳位置和全局最佳位置????
????????self.gbest?=?np.zeros((1self.dim))???
????????self.p_fit?=?np.zeros(self.pN)??????????????#每個(gè)個(gè)體的歷史最佳適應(yīng)值????
????????self.fit?=?-1
????????
????????#?輸入數(shù)據(jù)
????????self.input=input
????????self.output=output
????????self.input_node=input_node
????????self.hidden_node=hidden_node
????def?train_elm(selfPTNWC=100000000000000TF=‘sig‘TYPE=1):
????????#?P?輸入數(shù)據(jù)?n*m??n->?samples?m->features
????????#?T?輸出數(shù)據(jù)
????????#?N?隱含層節(jié)點(diǎn)
????????#?C?正則化參數(shù)
????????#?TF?隱含層激活函數(shù)
????????#?TYPE=1?分類任務(wù)??=0?回歸任務(wù)
????
????????nm=P.shape
????????if?TYPE?==?1:
????????????y=np.zeros([nT.max()+1])
????????????for?i?in?range(n):
????????????????y[iT[i]]=1
????????????T=np.copy(y)
????????
????????nc=T.shape
????????
????????‘輸入權(quán)重‘
????????Weights?=?np.reshape(W[:m*N][mN])
????????‘隱含層偏置‘
????????biases=np.reshape(W[m*N:][1N])
????????
????????temp=np.matmul(PWeights)+np.tile(biases[n1])
????????if?TF==‘sig‘:
????????????H=1/(1+np.exp(temp))
????????‘輸出權(quán)重計(jì)算‘
????????w_out=np.matmul(np.matmul(np.linalg.pinv(np.matmul(H.TH)+1/C)H.T)T)
????????return?Weights?biases?w_out?TF?TYPE
????
????def?train_predic(selfPWeightsbiasesw_outTFTYPE):
????????nm=P.shape
????????temp=np.matmul(PWeights)+np.tile(biases[n1])
????????if?TF==‘sig‘:
????????????H=1/(1+np.exp(temp))
????????T=np.matmul(Hw_out)
????????
????????if?TYPE==1:
????????????T_predict=np.argmax(Taxis=1)
????????return?T_predict
????
????def?compute_accuracy(selfT_trueT_predictTYPE):
????????if?TYPE==0:
????????????accuracy=np.mean(np.sum(T_true-T_predict))
????????if?TYPE==1:
????????????n=0
????????????for?i?in?range(len(T_true)):
???????????????if?T_true[i]==T_predict[i]:
???????????????????n=n+1
????????????accuracy=n/len(T_true)
????????return?accuracy???
#---------------------目標(biāo)函數(shù)-----------------------------????
????def?function(selfPTNW):
????????Weightsbiasesw_outTFTYPE=self.train_elm(PTNWC=10000000000TF=‘sig‘TYPE=1)
????????T_predict=self.train_predic(PWeightsbiasesw_outTFTYPE)
????

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????文件???????5999??2019-07-29?16:29??pso-elm.py

?????文件????7152017??2018-04-26?17:10??drivFace600.mat

-----------?---------??----------?-----??----

??????????????7158016????????????????????2


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