A Neural Network Approach to Solve the Truck Backer-Upper and Iris Flower Problems

نویسنده

  • Yi Liao
چکیده

A neural network approach is proposed to solve the Truck Backer-Upper and Iris Flower Classification problems. Several implementation alternatives with respect to network architecture, number of hidden nodes, step length adjustment method and prevention of overfitting were tested and compared. A performance comparison between our neural network approach and a fuzzy clustering approach was also conducted.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Genetic Approach to the Truck Backer Upper Problem and the Inter-twined Spiral Problem

Neural networks are a biologically motivated problem-solving paradigm that has proven successful in robustly solving a variety of problems. This paper describes another biologically motivated paradigm, namely genetic programming, which can also solve a variety of problems. This paper explains genetic programming and applies it to two well-known benchmark problems from the field of neural networ...

متن کامل

An application of the temporal difference algorithm to the truck backer-upper problem

We use a reinforcement learning approach to learn a real world control problem, the truck backer-upper problem. In this problem, a tractor trailer truck must be backed into a loading dock from an arbitrary location and orientation. Our approach uses the temporal difference algorithm using a neural network as the value function approximator. The novelty of this work is the simplicity of our impl...

متن کامل

A Neural Network Model to Solve DEA Problems

The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.

متن کامل

Fuzzy Hierarchical Control of Truck and Trailer

This paper demonstrates that problem decomposition leads to more effective knowledge acquisition and improved control performance in fuzzy control. The methodology allows to solve complex control problems (truck backer-upper) without loss of functionality that is very difficult with all-in-one approaches and saves design expenses.

متن کامل

Subsethood - Product Fuzzy Neural Inference System ( SuPFuNIS ) Sandeep Paul and

A new subsethood-product fuzzy neural inference system (SuPFuNIS) is presented in this paper. It has the flexibility to handle both numeric and linguistic inputs simultaneously. Numeric inputs are fuzzified by input nodes which act as tunable feature fuzzifiers. Rule based knowledge is easily translated directly into a network architecture. Connections in the network are represented by Gaussian...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999