尤其是基于误差反向传播（Error Back Propagation）算法的多层前馈网络（Multiple-Layer Feedforward Network）（简称BP网络），可以以任意精度逼近任意的连续函数，所以广泛应用于非线性建模、函数逼近、模式分类等方面。
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本文采用多层前馈神经网络对遥感图像进行压缩，给出了具体的压缩算法。
This paper compresses remote sensing images with multilayer feedforward neural network and gives the compression algorithm in detail.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
采用遗传算法训练的多层前馈神经网络实现番茄成熟度的自动判别。
Automated identification of tomato maturation using multilayer feedforward neural network with GA can be realized.
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