实验三双链表

#include <iostream>    
using namespace std;    
const int N=5;    
struct Std{    
    int date;    
    Std *next;    
}*p,*r;    
class Student{    
private:    
    Std *first;    
    int length;    
public:    
    Student();    
    Student(int a[],int n);    
    ~Student(){}    
    void Insert(int i,int x);    
    int Delete(int i);    
    int Get(int i);    
    int Locate(int x);    
    void Show();    
};    
Student::Student(){    
    first =new Std;    
    first->next=NULL;    
}    
Student::Student(int a[],int n){    
    first=new Std;    
    first->next=NULL;    
    r=first;    
    for (int i=0;i<n;i++){    
        p=new Std;    
        p->date=a[i];    
        r->next=p;    
        r=p;    
    }    
    r->next=NULL;    
    lenght=n;    
}    
void Student::Insert(int i,int x){    
    r=first;    
    int j=0;    
    while (r!=NULL&&j<i-1){    
        r=r->next;    
        j++;    
    }    
    if (r==NULL) throw "位置非法";    
    else {    
        p=new Std;    
        p->next=r->next;    
        p->date=x;    
        r->next=p;    
        length++;    
    }    
}    
int Student::Delete(int i){    
    r=first;    
    int j=0;    
    while (r!=NULL&&j<i-1){    
        r=r->next;    
        j++;    
    }    
    if (r==NULL) throw "位置非法";    
    else {    
        p=r->next;    
        r->next=p->next;    
        delete p;    
        lenght--;    
    }    
    return p->date;    
}    
int Student::Get(int i) {    
    r = first;    
    int j = 0;    
    while (r != NULL && j<i - 1) {    
        r = r->next;    
        j++;    
    }    
    if (r == NULL) throw "位置非法";    
    else     
        p = r;    
    return p->date;    
}    
int Student::Locate(int x) {    
    r = first;    
    int j=0;    
    while (r != NULL) {    
        r = r->next;    
        j++;    
        if (r->date == x) break;    
    }    
    if (r == NULL) throw "位置非法";    
    return j;    
}    
void Student::Show() {    
    r = first;    
    while (r->next!= NULL) {    
       #include <iostream>    
using namespace std;    
const int N = 5;    
struct Std {    
    int date;    
    Std *next,*prior;    
}*p, *r;    
class Student {    
private:    
    Std * first;    
    int length;    
public:    
    Student();    
    Student(int a[], int n);    
    ~Student() {}    
    void Insert(int i, int x);    
    int Delete(int i);    
    int Get(int i);    
    int Locate(int x);    
    int Getper(int x,int i);    
    void Show();    
};    
Student::Student() {    
    first = new Std;    
    first->next =first;    
    first->prior = first;    
}    
Student::Student(int a[], int n) {    
    first = new Std;    
    first->next = NULL;    
    r = first;    
    for (int i = 0; i<n; i++) {    
        p = new Std;    
        p->date = a[i];    
        r->next = p;    
        p->prior = r;    
        r = p;    
    }    
    r->next = first;    
    first->prior = r;    
    lenght = n;    
}    
void Student::Insert(int i, int x) {    
    r = first;    
    int j = 0,count = 0;    
    while (count<=length && j<i - 1) {    
        r = r->next;    
        count++;    
        j++;    
    }    
    if (count>length) throw "位置非法";    
    else {    
        p = new Std;    
        p->next = r->next;    
        r->next->prior = p;    
        r->next = p;    
        p->date = x;    
        p->prior = r;    
        length++;    
    }    
}    
int Student::Delete(int i) {    
    r = first;    
    int x,j = 0,count = 0;    
    while (count<=length && j<i - 1) {    
        r = r->next;    
        count++;    
        j++;    
    }    
    if (count>length) throw "位置非法";    
    else {    
        p = r->next;    
        p->next->prior = r;    
        r->next = p->next;    
        x = p->date;    
        delete p;    
    }    
    return x;    
}    
int Student::Get(int i) {    
r = first;    
    int j = 0,count = 0;    
    while (count<=length && j<i - 1) {    
        r = r->next;    
        count++;    
        j++;    
    }    
    if (count>length) throw "位置非法";    
    else    
        p = r->next;    
    return p->date;    
}    
int Student::Locate(int x) {    
    r = first;    
    int j = 0,count = 0;    
    while (count<=length) {    
        r = r->next;    
        count++;    
        j++;    
        if (r->date == x) break;    
    }    
    if (count>length) cout<<"找不到该数据"<<endl;    
    return j;    
}    
void Student::Show() {    
    r = first;    
    while (r->next != first) {    
        r = r->next;    
        cout << r->date << ' ';    
    }    
    cout << endl;    
}    
int Student::Getper(int x,int i){    
    r = first;    
    int j,count = 0;    
    while (count<=length) {    
        r = r->next;    
        count++;    
        if (r->date == x) break;    
    }    
    if (count>length) throw "找不到该数据";    
    if (i>length) throw "前移非法";    
    for (j=0;j<i;j++)    
        r=r->prior;    
    return r->date;    
}    
int main() {    
    int a[3] = { 75,85,95 };    
    try{    
    Student S(a, 3);    
    cout << "原表:" << endl;    
    S.Show();    
    cout << "在第3位插入98:" << endl;    
    S.Insert(1, 98);    
    cout << "插入后:" << endl;    
    S.Show();    
    cout << "删除第2位:" << endl;    
    S.Delete(2);    
    cout << "删除后:" << endl;    
    S.Show();    
    cout << "查75分的位置:" << endl;    
    cout<<S.Locate(75) <<endl;    
    cout<< "查第2位的成绩:" <<endl;    
    cout<< S.Get(2) << endl;    
    cout<< "查95分前2位的成绩:" <<endl;    
    cout<< S.Getper(95,2) << endl;    
    }    
    catch(char *s){    
        cout<<s<<endl;    
    }    
    return 0;    
}  

内容概要:本文介绍了ENVI Deep Learning V1.0的操作教程,重点讲解了如何利用ENVI软件进行深度学习模型的训练与应用,以实现遥感图像中特定目标(如集装箱)的自动提取。教程涵盖了从数据准备、标签图像创建、模型初始化与训练,到执行分类及结果优化的完整流程,并介绍了精度评价与通过ENVI Modeler实现一键化建模的方法。系统基于TensorFlow框架,采用ENVINet5(U-Net变体)架构,支持通过点、线、面ROI或分类图生成标签数据,适用于多/高光谱影像的单一类别特征提取。; 适合人群:具备遥感图像处理基础,熟悉ENVI软件操作,从事地理信息、测绘、环境监测等相关领域的技术人员或研究人员,尤其是希望将深度学习技术应用于遥感目标识别的初学者与实践者。; 使用场景及目标:①在遥感影像中自动识别和提取特定地物目标(如车辆、建筑、道路、集装箱等);②掌握ENVI环境下深度学习模型的训练流程与关键参数设置(如Patch Size、Epochs、Class Weight等);③通过模型调优与结果反馈提升分类精度,实现高效自动化信息提取。; 阅读建议:建议结合实际遥感项目边学边练,重点关注标签数据制作、模型参数配置与结果后处理环节,充分利用ENVI Modeler进行自动化建模与参数优化,同时注意软硬件环境(特别是NVIDIA GPU)的配置要求以保障训练效率。
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值