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punnets-1.0a.tar
- a useful spiking neural networks simulator-a useful Spiking neural networks simulator
web
- 易语言神经网络程序，值得学习。可以用在识别验证码上-Neural networks easy language program, it is worth learning. Verification code can be used in the identification
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- 仁脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容-Ren-face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also a wide range of appl
BP
- 使用matlab编写的BP神经网络的算法，使用单隐层的网络，其中包括一个实例文件，对20个数据作分类。-Prepared using matlab algorithm BP neural network, using a single hidden layer networks, including an instance of the file, the data for 20 categories.
manuscript
- of impulses are studied: the impulses are input disturbances the impulses are ``neutral type, that is, they are neither helpful for stability of neural networks nor destabilizing and the impulses are stabilizing. For each type of impulses, b
wireless-network-routing
- routing of informations in wireless neural networks
network
- 神经网络Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the -Neural Networks Using the classific
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- 基于DCT人脸识别算法代码，运行环境是在MATLAB中-A MATLAB based Face Recognition System using Image Processing and Neural Networks
ANN_ImageCompression
- Good application for images compression.with neural networks
fbm.2004-11-10.tar
- 人工神经网络, 人工神经网络, -neural networks
tainter
- Decryption of Chaotically Encrypted Signals Using Neural Networks
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- 小波神经网络,可以用于对日径流进行预测，有助于了解小波分析与神经网络结合。-Wavelet neural networks can be used to predict daily runoff, help to understand wavelet analysis and neural networks.
Artificial-Neural-Networks-Hand-symbol-recognitio
- ARIFICIAL NEURAL NETWORK BASED HAND GESTURE RECOGNITION
signalp-4.1c.Linux.tar
- SignalP 4.1 server predicts the presence and location of signal peptide cleavage sites in amino acid sequences from different organisms: Gram-positive prokaryotes, Gram-negative prokaryotes, and eukaryotes. The method incorporates a prediction of cle
multiclass
- 多种神经网络方法，使用python对网络公开数据集进行实验。(Neural networks are applied to data sets to verify)