人工智能与食品加工与安全
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Industrial Revolution
Intelligent Manufacturing: Machine to Machine (M2M) Communication
INTERNET of THINGS
MOBILE INTERNET
ARTIFICIAL INTELLIGENCE
PC INTERNET
Human beings can easily recognize things or objects based on past learning experiences! Then how about computers?
Machine learning algorithm
基于知识学习的模式识别算法主要的特征就是需要样本集和训练模型，通过对 样本进行不断地训练，最终达到满足精度的模型。其数学本质是对数据样本中 的数据进行分类，找到满足一定的类别特征的分类模型，使不同类数据之间的 区别最大，同类数据之间的误差最小，是一种有偏估计模型
Artificial versus natural olfactory system
AOS operating system
FINGERPRINT DFA RESULT
SAMPLE SENSORS
SOFTWARE: Pattern recognition
Working principle of MOS sensors
What can we do after analysis? ➢ Classification (Supervised learning) ➢ Clustering (Unsupervised learning) ➢ Other applications
Why we need pattern recognition?
½ O2 + (SnO2-X)* CO + O_(SnO2-X)
O_(SnO2-X) CO2 + (SnO2-X)*
Carbon Nanotube Sensor Graphene-Based Nanosensors
Pattern recognition
Pattern recognition is a process that taking in raw data and making an action based on the category of the pattern.
APPLES
ORANGES
Artificial Neural Network(ANN)
➢ 人工神经网络（ANN）是基于对人脑组织结构、活动机制的初步认识而提出 的一种，具有自主学习能力的机器学习方法。
人脑神经元结构 ： 树突：又称晶枝，是引入输入信号的突起。 轴突：是作为输出端的突起，只有一个。 突触：树突的全长各部位都可与其它神经元 的轴突末梢相互联系，形成“突触”。突触 处两神经元并未连通，它只是发生信息传递 的结合部。
What does a pattern means?
“A pattern is essentially an arrangement”, N. Wiener “A pattern is the opposite of a chaos”, Watanabe To be simplified, the interesting part
Support Vector Machines（SVM）
由于很多过程获取数据比较困难，如果能找到一种用很少样本就能训练模型， 就可以弥补获取大量数据带来的困难，而支持向量机（Support Vector Machines，SVM）就可以达到这一目的。
An AOS is an instrument composed of a sensor array and of a suitable data treatment software, able to characterize and recognize simple and complex odours
人工神经元模型：
输入：X 输出：Y 权值：各突触的连接强度用实系数 wij表示， 是对第 j个输入的加权。 所有的输入通过某种运算结合在一起，称为 净输入，用Neti 或 Ii表示。
Байду номын сангаас
➢神经网络结构可分为前馈神经网络、反馈神经网络，其学习过程分为有监督学 习和无监督学习。典型的前馈网络感知器网络、BP网络、RBF网络等。
This technology operating in a similar way to the human olfactive system
The principle advantages of using the AOS are: ❖ Simplicity and synthetic assessment ❖ Immediate result ❖ No sample pretreatment
✓The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
AI in Food production and safety field
➢Intelligent manufacture and production ➢Safety Detection
Artificial Olfactory Systems (AOS) or electronic nose
人工智能与食品加工及安全
4:1
History
What is AI?
➢machines that think like humans. ➢machines that act like humans, ➢machines that think rationally, ➢machines that act rationally.
Intelligent Manufacturing: Machine to Machine (M2M) Communication
INTERNET of THINGS
MOBILE INTERNET
ARTIFICIAL INTELLIGENCE
PC INTERNET
Human beings can easily recognize things or objects based on past learning experiences! Then how about computers?
Machine learning algorithm
基于知识学习的模式识别算法主要的特征就是需要样本集和训练模型，通过对 样本进行不断地训练，最终达到满足精度的模型。其数学本质是对数据样本中 的数据进行分类，找到满足一定的类别特征的分类模型，使不同类数据之间的 区别最大，同类数据之间的误差最小，是一种有偏估计模型
Artificial versus natural olfactory system
AOS operating system
FINGERPRINT DFA RESULT
SAMPLE SENSORS
SOFTWARE: Pattern recognition
Working principle of MOS sensors
What can we do after analysis? ➢ Classification (Supervised learning) ➢ Clustering (Unsupervised learning) ➢ Other applications
Why we need pattern recognition?
½ O2 + (SnO2-X)* CO + O_(SnO2-X)
O_(SnO2-X) CO2 + (SnO2-X)*
Carbon Nanotube Sensor Graphene-Based Nanosensors
Pattern recognition
Pattern recognition is a process that taking in raw data and making an action based on the category of the pattern.
APPLES
ORANGES
Artificial Neural Network(ANN)
➢ 人工神经网络（ANN）是基于对人脑组织结构、活动机制的初步认识而提出 的一种，具有自主学习能力的机器学习方法。
人脑神经元结构 ： 树突：又称晶枝，是引入输入信号的突起。 轴突：是作为输出端的突起，只有一个。 突触：树突的全长各部位都可与其它神经元 的轴突末梢相互联系，形成“突触”。突触 处两神经元并未连通，它只是发生信息传递 的结合部。
What does a pattern means?
“A pattern is essentially an arrangement”, N. Wiener “A pattern is the opposite of a chaos”, Watanabe To be simplified, the interesting part
Support Vector Machines（SVM）
由于很多过程获取数据比较困难，如果能找到一种用很少样本就能训练模型， 就可以弥补获取大量数据带来的困难，而支持向量机（Support Vector Machines，SVM）就可以达到这一目的。
An AOS is an instrument composed of a sensor array and of a suitable data treatment software, able to characterize and recognize simple and complex odours
人工神经元模型：
输入：X 输出：Y 权值：各突触的连接强度用实系数 wij表示， 是对第 j个输入的加权。 所有的输入通过某种运算结合在一起，称为 净输入，用Neti 或 Ii表示。
Байду номын сангаас
➢神经网络结构可分为前馈神经网络、反馈神经网络，其学习过程分为有监督学 习和无监督学习。典型的前馈网络感知器网络、BP网络、RBF网络等。
This technology operating in a similar way to the human olfactive system
The principle advantages of using the AOS are: ❖ Simplicity and synthetic assessment ❖ Immediate result ❖ No sample pretreatment
✓The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
AI in Food production and safety field
➢Intelligent manufacture and production ➢Safety Detection
Artificial Olfactory Systems (AOS) or electronic nose
人工智能与食品加工及安全
4:1
History
What is AI?
➢machines that think like humans. ➢machines that act like humans, ➢machines that think rationally, ➢machines that act rationally.