Pruning Strategies for the MTiling Constructive Learning Algorithm

نویسندگان

  • Rajesh Parekh
  • Jihoon Yang
  • Vasant Honavar
چکیده

We present a framework for incorporating pruning strategies in the MTiling constructive neural network leaming algorithm. Pruning involves elimination of redundant elements (connection weights or neurons) from a network a d is nf considerable practical interest. We describe three elementary sensitivity based strategies for pruning neurons. Experimental results demonstrate a inoderate to significant reduction in the network size without compromising the network’s generalization p e t f o m n c e .

برای دانلود رایگان 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

Constructive Neural Network Learning Algorithms for Pattern Classiication

Constructive learning algorithms ooer an attractive approach for the incremental construction of near-minimal neural network architectures for pattern classiication. They help overcome the need for ad hoc and often inappropriate choices of network topology in the use of algorithms that search for suitable weights in a priori xed network architectures. Several such algorithms have been proposed ...

متن کامل

Constructive neural-network learning algorithms for pattern classification

Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help overcome the need for ad hoc and often inappropriate choices of network topology in algorithms that search for suitable weights in a priori fixed network architectures. Several such algorithms are proposed in the litera...

متن کامل

Mtiling -a Constructive Neural Network Learning Algorithm for Multi-category Pattern Classiication

Constructive learning algorithms ooer an approach for incremental construction of potentially near-minimal neural network architectures for pattern classiication tasks. Such algorithms help overcome the need for ad-hoc and often inappropriate choice of network topology in the use of algorithms that search for a suitable weight setting in an otherwise a-priori xed network architecture. Several s...

متن کامل

MTiling A Constructive Neural Network Learning Algorithm for Multi Category Pattern Classi cation

Constructive learning algorithms o er an approach for incremental construction of potentially near minimal neural network architectures for pattern classi cation tasks Such algorithms help overcome the need for ad hoc and often inappropriate choice of network topology in the use of algorithms that search for a suitable weight setting in an otherwise a priori xed network architecture Several suc...

متن کامل

Synaptic Pruning Mechanisms in Learning

1 –Independent Work Report, Spring 2015– Synaptic Pruning Mechanisms in Learning Abstract Synaptic pruning is the process of removing synapses in neural networks and has been considered to be a method of learning. During the developmental stages of the brain, synaptic pruning helps regulate efficiency and energy conservation. However, a destructive algorithm seems to be counter-intuitive to “le...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997